{"id":8205,"date":"2022-12-20T16:07:30","date_gmt":"2022-12-20T09:07:30","guid":{"rendered":"http:\/\/ipe.com.vn\/?p=8205"},"modified":"2023-02-01T11:02:09","modified_gmt":"2023-02-01T04:02:09","slug":"giai-phap-deep-learning-trong-nganh-cong-nghiep-dien-tu","status":"publish","type":"post","link":"https:\/\/ipe.com.vn\/?p=8205","title":{"rendered":"GI\u1ea2I PH\u00c1P DEEP LEARNING TRONG NG\u00c0NH C\u00d4NG NGHI\u1ec6P \u0110I\u1ec6N T\u1eec"},"content":{"rendered":"
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T\u1ef1 \u0111\u1ed9ng h\u00f3a quy tr\u00ecnh s\u1ea3n xu\u1ea5t v\u00e0 n\u00e2ng cao ch\u1ea5t l\u01b0\u1ee3ng l\u00e0 hai trong s\u1ed1 nh\u1eefng nhu c\u1ea7u l\u1edbn nh\u1ea5t c\u1ee7a ng\u00e0nh c\u00f4ng nghi\u1ec7p \u0111i\u1ec7n t\u1eed. Tuy nhi\u00ean, m\u1ed9t s\u1ed1 \u1ee9ng d\u1ee5ng qu\u00e1 ph\u1ee9c t\u1ea1p, t\u1ed1n th\u1eddi gian v\u00e0 t\u1ed1n k\u00e9m \u0111\u1ec3 l\u1eadp tr\u00ecnh th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc. S\u1eed d\u1ee5ng nh\u00e2n vi\u00ean ki\u1ec3m tra \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c lo\u1ea1i b\u1ed9 ph\u1eadn kh\u00e1c nhau v\u00e0 \u0111\u01b0a ra c\u00e1c quy\u1ebft \u0111\u1ecbnh d\u1ef1a tr\u00ean ph\u00e1n \u0111o\u00e1n c\u0169ng c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn sai s\u00f3t v\u00e0 l\u00e0m ch\u1eadm qu\u00e1 tr\u00ecnh s\u1ea3n xu\u1ea5t.<\/p>\n

Cognex Deep Learning l\u00e0 ph\u1ea7n m\u1ec1m vision deep learning \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c \u1ee9ng d\u1ee5ng \u0111i\u1ec7n t\u1eed \u0111\u1ea7y kh\u00f3 kh\u0103n, \u0111\u00f2i h\u1ecfi v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn ki\u1ec3m tra m\u1ef9 ph\u1ea9m, ph\u00e2n lo\u1ea1i v\u00e0 nh\u1eadn d\u1ea1ng k\u00fd t\u1ef1. Cognex Deep Learning cung c\u1ea5p kh\u1ea3 n\u0103ng ki\u1ec3m tra gi\u1ed1ng nh\u01b0 con ng\u01b0\u1eddi v\u1edbi t\u1ed1c \u0111\u1ed9 v\u00e0 s\u1ef1 m\u1ea1nh m\u1ebd c\u1ee7a m\u1ed9t h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh, trong m\u1ed9t \u0111\u01a1n v\u1ecb c\u00f3 th\u1ec3 b\u1ea3o tr\u00ec t\u1ea1i hi\u1ec7n tr\u01b0\u1eddng gi\u00fap d\u1ec5 d\u00e0ng \u0111\u00e0o t\u1ea1o c\u00e1c b\u1ed9 ph\u1eadn m\u1edbi v\u00e0 c\u00e1c lo\u1ea1i l\u1ed7i trong hi\u1ec7n tr\u01b0\u1eddng.<\/td>\n

\"DEEP<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n
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L\u1eafp r\u00e1p ch\u00ednh x\u00e1c trong bo m\u1ea1ch \u0111i\u1ec7n t\u1eed<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Trong qu\u00e1 tr\u00ecnh x\u00e1c minh l\u1eafp r\u00e1p cu\u1ed1i c\u00f9ng, h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y 2D v\u00e0 3D th\u01b0\u1eddng ki\u1ec3m tra PCB \u0111\u1ec3 t\u00ecm s\u1ef1 hi\u1ec7n di\u1ec7n v\u00e0 v\u1ecb tr\u00ed ch\u00ednh x\u00e1c c\u1ee7a \u0111\u00e8n LED, b\u1ed9 vi x\u1eed l\u00fd v\u00e0 c\u00e1c thi\u1ebft b\u1ecb g\u1eafn tr\u00ean b\u1ec1 m\u1eb7t kh\u00e1c. C\u00e1c th\u00e0nh ph\u1ea7n b\u1ecb thi\u1ebfu ho\u1eb7c \u0111\u01b0\u1ee3c \u0111\u1ecbnh v\u1ecb sai c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn hi\u1ec7u su\u1ea5t v\u00e0 tu\u1ed5i th\u1ecd c\u1ee7a PCB. Nh\u1eefng l\u1ed7i n\u00e0y ph\u1ea3i \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n tr\u01b0\u1edbc khi PCB \u0111\u01b0\u1ee3c l\u1eafp r\u00e1p v\u00e0o thi\u1ebft b\u1ecb ho\u1eb7c v\u1eadn chuy\u1ec3n cho kh\u00e1ch h\u00e0ng. Tuy nhi\u00ean, nh\u1eefng thay \u0111\u1ed5i nh\u1ecf v\u1ec1 ngo\u1ea1i h\u00ecnh \u2014 cho d\u00f9 do s\u1ef1 t\u01b0\u01a1ng ph\u1ea3n \u00e1nh s\u00e1ng tinh vi, thay \u0111\u1ed5i v\u1ec1 g\u00f3c nh\u00ecn v\u00e0 h\u01b0\u1edbng ho\u1eb7c \u00e1nh s\u00e1ng ch\u00f3i tr\u00ean b\u1ec1 m\u1eb7t kim lo\u1ea1i \u2014 c\u00f3 th\u1ec3 g\u00e2y nh\u1ea7m l\u1eabn cho m\u1ed9t h\u1ec7 th\u1ed1ng ki\u1ec3m tra t\u1ef1 \u0111\u1ed9ng. C\u00e1c b\u1ed9 ph\u1eadn g\u1ea7n nhau r\u1ea5t kh\u00f3 \u0111\u1ec3 h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y (machine vision) ph\u00e2n bi\u1ec7t \u0111\u01b0\u1ee3c nh\u01b0 c\u00e1c b\u1ed9 ph\u1eadn \u0111\u1ed9c l\u1eadp. Vi\u1ec7c l\u1eadp tr\u00ecnh c\u00e1c ki\u1ec3m tra n\u00e0y th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc t\u1ed1n nhi\u1ec1u th\u1eddi gian, d\u1ec5 x\u1ea3y ra l\u1ed7i v\u00e0 l\u00e0 th\u00e1ch th\u1ee9c \u0111\u1ed1i v\u1edbi k\u1ef9 s\u01b0 hi\u1ec7n tr\u01b0\u1eddng trong vi\u1ec7c duy tr\u00ec. Nh\u00e2n vi\u00ean ki\u1ec3m tra, m\u1eb7c d\u00f9 c\u00f3 kh\u1ea3 n\u0103ng x\u00e1c \u0111\u1ecbnh c\u00e1c th\u00e0nh ph\u1ea7n n\u00e0y, kh\u00f4ng th\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u x\u1eed l\u00fd t\u1ed1c \u0111\u1ed9 cao.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p c\u00f3 th\u1ec3 b\u1ea3o tr\u00ec t\u1ea1i hi\u1ec7n tr\u01b0\u1eddng, c\u1ea1nh tranh v\u1edbi s\u1ef1 ki\u1ec3m tra c\u1ee7a con ng\u01b0\u1eddi \u0111\u1ec3 x\u00e1c minh vi\u1ec7c l\u1eafp r\u00e1p PCB. C\u00f4ng c\u1ee5 x\u00e1c minh l\u1eafp r\u00e1p v\u00e0 v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn h\u1ecdc c\u00e1ch x\u00e1c \u0111\u1ecbnh c\u00e1c th\u00e0nh ph\u1ea7n t\u1eeb h\u00ecnh \u1ea3nh \u201ct\u1ed1t\u201d \u0111\u01b0\u1ee3c ch\u00fa th\u00edch, x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh tham chi\u1ebfu v\u1ec1 h\u00ecnh d\u1ea1ng b\u00ecnh th\u01b0\u1eddng c\u1ee7a ch\u00fang. C\u00f4ng c\u1ee5 n\u00e0y t\u1ed5ng qu\u00e1t h\u00f3a c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ph\u00e2n bi\u1ec7t c\u1ee7a c\u00e1c th\u00e0nh ph\u1ea7n d\u1ef1a tr\u00ean k\u00edch th\u01b0\u1edbc, h\u00ecnh d\u1ea1ng v\u00e0 c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m b\u1ec1 m\u1eb7t c\u1ee7a ch\u00fang v\u00e0 t\u00ecm hi\u1ec3u h\u00ecnh d\u00e1ng b\u00ecnh th\u01b0\u1eddng c\u1ee7a ch\u00fang, c\u0169ng nh\u01b0 v\u1ecb tr\u00ed chung c\u1ee7a ch\u00fang tr\u00ean b\u1ea3ng. Trong th\u1eddi gian ch\u1ea1y, c\u00f4ng c\u1ee5 ph\u00e2n t\u00edch t\u1ea5t c\u1ea3 c\u00e1c khu v\u1ef1c li\u00ean quan c\u1ee7a bo m\u1ea1ch \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh v\u00e0 \u0111\u1ebfm c\u00e1c th\u00e0nh ph\u1ea7n, b\u1ea5t ch\u1ea5p s\u1ef1 thay \u0111\u1ed5i c\u1ee7a ch\u00fang. B\u1eb1ng c\u00e1ch n\u00e0y, vi\u1ec7c ki\u1ec3m tra x\u00e1c \u0111\u1ecbnh xem c\u00e1c th\u00e0nh ph\u1ea7n c\u00f3 m\u1eb7t hay kh\u00f4ng v\u00e0 c\u00f3 th\u1ec3 cho bi\u1ebft li\u1ec7u bo m\u1ea1ch \u0111\u00e3 \u0111\u01b0\u1ee3c l\u1eafp r\u00e1p ch\u00ednh x\u00e1c hay ch\u01b0a.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra m\u1ed1i h\u00e0n \u0111i\u1ec7n tr\u1edf<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

\u0110\u1ec3 m\u1ed9t linh ki\u1ec7n nh\u01b0 diode chu\u1ed9t \u0111\u01b0\u1ee3c g\u1eafn m\u00e0 kh\u00f4ng l\u00e0m \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn k\u1ebft n\u1ed1i \u0111i\u1ec7n c\u1ee7a n\u00f3, \u0111i\u1ec7n tr\u1edf h\u00e0n ph\u1ea3i \u0111\u01b0\u1ee3c d\u00e1n s\u1ea1ch v\u00e0o b\u1ea3ng m\u1ea1ch tr\u1ea7n. Ngay c\u1ea3 nh\u1eefng khi\u1ebfm khuy\u1ebft nh\u1ecf trong v\u1eadt h\u00e0n c\u0169ng c\u00f3 th\u1ec3 g\u00e2y \u0111\u1ee9t d\u00e2y, ch\u1eadp v\u00e0 c\u00e1c s\u1ef1 c\u1ed1 \u0111i\u1ec7n kh\u00e1c. Nh\u1eefng khuy\u1ebft t\u1eadt n\u00e0y kh\u00e1c nhau v\u1ec1 k\u00edch th\u01b0\u1edbc, h\u00ecnh d\u1ea1ng v\u00e0 s\u1ef1 xu\u1ea5t hi\u1ec7n do \u00e1nh s\u00e1ng ch\u00f3i. R\u1ea5t kh\u00f3 \u0111\u1ec3 l\u1eadp tr\u00ecnh ki\u1ec3m tra t\u1ef1 \u0111\u1ed9ng c\u00f3 th\u1ec3 ch\u1ecbu \u0111\u01b0\u1ee3c s\u1ef1 thay \u0111\u1ed5i \u0111\u00e1ng k\u1ec3 c\u1ee7a b\u1ed9 ph\u1eadn trong nh\u1eefng \u0111i\u1ec1u ki\u1ec7n n\u00e0y.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning nhanh ch\u00f3ng x\u00e1c \u0111\u1ecbnh \u0111i\u1ec7n tr\u1edf h\u00e0n tr\u00ean m\u1ed9t diode khi c\u00e1c ph\u01b0\u01a1ng ph\u00e1p kh\u00e1c c\u1ed1 g\u1eafng ki\u1ec3m tra trong c\u00f9ng \u0111i\u1ec1u ki\u1ec7n \u00e1nh s\u00e1ng. C\u00f4ng c\u1ee5 x\u00e1c minh l\u1eafp r\u00e1p v\u00e0 v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn \u0111\u00e0o t\u1ea1o tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c h\u00ecnh \u1ea3nh \u0111\u1ea1i di\u1ec7n c\u1ee7a kh\u00e1ng h\u00e0n \u0111\u1ec3 t\u00ecm hi\u1ec3u h\u00ecnh th\u00e1i b\u00ecnh th\u01b0\u1eddng c\u1ee7a v\u1eadt h\u00e0n \u201ct\u1ed1t\u201d v\u00e0 \u201cx\u1ea5u\u201d. Trong th\u1eddi gian ch\u1ea1y, c\u00f4ng c\u1ee5 c\u1ed1 \u0111\u1ecbnh v\u00e0 \u0111\u1ecbnh v\u1ecb ch\u1ed1ng l\u1ea1i PCB, m\u1eb7c d\u00f9 c\u00f3 s\u1ef1 thay \u0111\u1ed5i v\u1ec1 \u0111\u1ed9 ch\u00f3i \u0111\u1eb7c tr\u01b0ng. Trong giai \u0111o\u1ea1n th\u1ee9 hai c\u1ee7a qu\u00e1 tr\u00ecnh ki\u1ec3m tra, \u0111i\u1ec7n tr\u1edf h\u00e0n ph\u1ea3i \u0111\u01b0\u1ee3c ki\u1ec3m tra \u0111\u1ec3 t\u00ecm b\u1ea5t k\u1ef3 s\u1ef1 b\u1ea5t th\u01b0\u1eddng n\u00e0o v\u1ec1 ch\u1ee9c n\u0103ng, ch\u1eb3ng h\u1ea1n nh\u01b0 c\u1ea7u n\u1ed1i, c\u1ef1c \u0111\u1ea1i ho\u1eb7c l\u1ed7 h\u1ed5ng. B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt \u1edf ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o c\u00f4ng c\u1ee5 tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p \u0111\u1ea1i di\u1ec7n g\u1ed3m c\u00e1c ch\u1ea5t h\u00e0n \u201ct\u1ed1t\u201d \u0111\u00e3 bi\u1ebft v\u00e0 c\u00e1c ch\u1ea5t h\u00e0n \u201cx\u1ea5u\u201d c\u00f3 c\u00e1c khuy\u1ebft t\u1eadt \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n.<\/p>\n

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D\u1ef1a tr\u00ean nh\u1eefng h\u00ecnh \u1ea3nh n\u00e0y, Cognex Deep Learning t\u00ecm hi\u1ec3u k\u1ebft c\u1ea5u t\u1ef1 nhi\u00ean c\u1ee7a diode chu\u1ed9t, c\u0169ng nh\u01b0 h\u00ecnh d\u1ea1ng b\u00ecnh th\u01b0\u1eddng c\u1ee7a v\u1eadt h\u00e0n. H\u00ecnh \u1ea3nh b\u1ed5 sung c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c th\u00eam v\u00e0o t\u1eadp hu\u1ea5n luy\u1ec7n trong qu\u00e1 tr\u00ecnh ki\u1ec3m tra x\u00e1c nh\u1eadn \u0111\u1ec3 ph\u1ea3n \u00e1nh c\u00e1c v\u00ed d\u1ee5 b\u1ed5 sung v\u00e0 t\u1ed1i \u01b0u h\u00f3a m\u00f4 h\u00ecnh. C\u00e1c th\u00f4ng s\u1ed1 kh\u00e1c nhau c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh trong giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o v\u00e0 x\u00e1c nh\u1eadn \u0111\u1ec3 gi\u00fap gi\u1ea3i th\u00edch c\u00e1c bi\u1ebfn th\u1ec3 v\u1ec1 ngo\u1ea1i h\u00ecnh \u0111\u1ec3 ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c t\u1ea5t c\u1ea3 c\u00e1c \u0111i\u1ed1t c\u00f3 m\u1ed1i h\u00e0n b\u1ecb l\u1ed7i.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra \u0111\u1ed9 th\u1ea9m m\u1ef9 c\u1ee7a v\u1ecf ngo\u00e0i s\u1ea3n ph\u1ea9m<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Vi\u1ec7c ki\u1ec3m tra th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 kh\u00f3 kh\u0103n khi c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c nhau, cho d\u00f9 \u1edf c\u1ea5p \u0111\u1ed9 th\u00e0nh ph\u1ea7n hay \u1edf c\u1ea5p \u0111\u1ed9 bao b\u00ec v\u00e0 v\u1ecf. V\u1ebft x\u01b0\u1edbc, v\u1ebft l\u00f5m v\u00e0 c\u00e1c khuy\u1ebft t\u1eadt th\u1ea9m m\u1ef9 kh\u00e1c c\u00f3 th\u1ec3 kh\u00f4ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ee9c n\u0103ng nh\u01b0ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ea5t l\u01b0\u1ee3ng th\u00e0nh ph\u1ea9m v\u00e0 c\u1ea3m nh\u1eadn c\u1ee7a ng\u01b0\u1eddi ti\u00eau d\u00f9ng. M\u1ed9t s\u1ed1 khi\u1ebfm khuy\u1ebft th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 l\u00e0 nguy\u00ean nh\u00e2n r\u00f5 r\u00e0ng d\u1eabn \u0111\u1ebfn vi\u1ec7c b\u1ecb t\u1eeb ch\u1ed1i, trong khi nh\u1eefng khi\u1ebfm khuy\u1ebft nh\u1ecf kh\u00e1c c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c. V\u00ec l\u00fd do n\u00e0y, c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u1ea7n \u0111\u00e0o t\u1ea1o m\u1ed9t h\u1ec7 th\u1ed1ng ki\u1ec3m tra \u0111\u1ec3 t\u00ecm ki\u1ebfm c\u00e1c khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3 v\u00e0 ph\u00e2n bi\u1ec7t ch\u00fang v\u1edbi c\u00e1c khuy\u1ebft \u0111i\u1ec3m nh\u1ecf. L\u1eadp tr\u00ecnh ki\u1ec3m tra \u0111\u1ed9 ph\u1ee9c t\u1ea1p n\u00e0y th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc y\u00eau c\u1ea7u c\u00e1c th\u01b0 vi\u1ec7n l\u1ed7i ph\u1ee9c t\u1ea1p. S\u1ef1 ki\u1ec3m tra c\u1ee7a con ng\u01b0\u1eddi, m\u1eb7c d\u00f9 linh ho\u1ea1t h\u01a1n, nh\u01b0ng qu\u00e1 ch\u1eadm, kh\u00f4ng \u0111\u00e1ng tin c\u1eady v\u00e0 kh\u00f4ng nh\u1ea5t qu\u00e1n.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i trong ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t, m\u1ed9t k\u1ef9 s\u01b0 c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o Cognex Deep Learning \u0111\u1ec3 t\u00ecm ki\u1ebfm c\u00e1c khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3, ch\u1eb3ng h\u1ea1n nh\u01b0 v\u1ebft x\u01b0\u1edbc, \u0111\u1ed3ng th\u1eddi b\u1ecf qua nh\u1eefng d\u1ecb th\u01b0\u1eddng v\u00e0 bi\u1ebfn th\u1ec3 kh\u00f4ng quan tr\u1ecdng. C\u00f4ng c\u1ee5 n\u00e0y \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a \u0111\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi nh\u1eefng h\u00ecnh \u1ea3nh c\u00f3 \u0111\u1ed9 t\u01b0\u01a1ng ph\u1ea3n th\u1ea5p ho\u1eb7c \u0111\u01b0\u1ee3c ch\u1ee5p k\u00e9m. V\u00ed d\u1ee5: h\u00ecnh \u1ea3nh b\u00ean d\u01b0\u1edbi minh h\u1ecda c\u00e1ch c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt ph\u00e2n t\u00edch c\u1ea3 h\u00ecnh \u1ea3nh t\u1ed1t v\u00e0 x\u1ea5u c\u1ee7a tai nghe nh\u00e9t tai. Trong th\u1eddi gian ch\u1ea1y, ph\u1ea7n m\u1ec1m m\u00f4 t\u1ea3 c\u00e1c h\u00ecnh \u1ea3nh c\u00f3 v\u1ebft tr\u1ea7y x\u01b0\u1edbc nghi\u00eam tr\u1ecdng l\u00e0 b\u1ecb l\u1ed7i, \u0111\u00e3 h\u1ecdc c\u00e1ch nh\u1eadn bi\u1ebft v\u00e0 b\u1ecf qua c\u00e1c nh\u01b0\u1ee3c \u0111i\u1ec3m th\u1ea9m m\u1ef9 nh\u1ecf.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra ch\u1ee9ng nh\u1eadn l\u1eafp r\u00e1p v\u00e0 th\u1ea9m m\u1ef9 c\u1ee7a module pin<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Trong qu\u00e1 tr\u00ecnh ki\u1ec3m tra ch\u00e8n tr\u01b0\u1edbc khi l\u1eafp r\u00e1p, ph\u1ea7n b\u00ean trong c\u1ee7a \u0111i\u1ec7n tho\u1ea1i s\u1ebd \u0111\u01b0\u1ee3c ki\u1ec3m tra xem c\u00f3 khuy\u1ebft t\u1eadt hay kh\u00f4ng tr\u01b0\u1edbc khi l\u1eafp r\u00e1p v\u1ecf. Pin c\u00f3 th\u1ec3 b\u1ecb h\u1ecfng khi ch\u00fang \u0111\u01b0\u1ee3c d\u1eabn v\u00e0o v\u1ecf. Vi\u1ec7c x\u00e1c \u0111\u1ecbnh v\u1ecb tr\u00ed v\u00e0 ki\u1ec3m tra pin r\u1ea5t kh\u00f3 kh\u0103n do vi\u1ec7c l\u1eafp r\u00e1p \u0111i\u1ec7n tho\u1ea1i lu\u00f4n kh\u00f3 v\u00e0 kh\u00f4ng \u1ed5n \u0111\u1ecbnh. Ph\u1ea7n m\u1ec1m th\u1ecb gi\u00e1c deep learning gi\u00fap \u0111\u01a1n gi\u1ea3n h\u00f3a vi\u1ec7c ph\u00e1t hi\u1ec7n t\u1ef1 \u0111\u1ed9ng v\u00e0 x\u00e1c \u0111\u1ecbnh \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a c\u00e1c khuy\u1ebft t\u1eadt tr\u00ean b\u1ec1 m\u1eb7t kim lo\u1ea1i c\u1ee7a pin.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning cho ph\u00e9p nh\u00e0 s\u1ea3n xu\u1ea5t ki\u1ec3m tra t\u00ednh to\u00e0n v\u1eb9n c\u1ee7a pin tr\u01b0\u1edbc khi \u0111i\u1ec7n tho\u1ea1i tr\u1ea3i qua qu\u00e1 tr\u00ecnh l\u1eafp r\u00e1p cu\u1ed1i c\u00f9ng v\u00e0 \u0111\u1ec3 ph\u00e2n bi\u1ec7t gi\u1eefa c\u00e1c b\u1ea5t th\u01b0\u1eddng v\u1ec1 th\u1ea9m m\u1ef9 v\u00e0 ch\u1ee9c n\u0103ng. S\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt \u1edf ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t, m\u1ed9t k\u1ef9 s\u01b0 c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o ph\u1ea7n m\u1ec1m v\u1ec1 h\u00ecnh \u1ea3nh \u201ct\u1ed1t\u201d c\u0169ng nh\u01b0 h\u00ecnh \u1ea3nh \u201cx\u1ea5u\u201d v\u1edbi c\u00e1c khuy\u1ebft t\u1eadt \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n. T\u1eeb nh\u1eefng h\u00ecnh \u1ea3nh n\u00e0y, c\u00f4ng c\u1ee5 t\u00ecm hi\u1ec3u h\u00ecnh th\u1ee9c b\u00ecnh th\u01b0\u1eddng c\u1ee7a pin, bao g\u1ed3m c\u00e1c bi\u1ebfn th\u1ec3 t\u1ef1 nhi\u00ean c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c. C\u00e1c th\u00f4ng s\u1ed1 c\u00f3 th\u1ec3 li\u00ean t\u1ee5c \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh trong giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o v\u00e0 giai \u0111o\u1ea1n x\u00e1c nh\u1eadn cho \u0111\u1ebfn khi m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o ph\u00e1t hi\u1ec7n v\u00e0 ph\u00e2n \u0111o\u1ea1n ch\u00ednh x\u00e1c t\u1ea5t c\u1ea3 c\u00e1c h\u00ecnh \u1ea3nh c\u00f3 b\u1ea5t th\u01b0\u1eddng ch\u1ee9c n\u0103ng. Sau khi \u0111\u01b0\u1ee3c tri\u1ec3n khai, c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i s\u1ebd x\u00e1c \u0111\u1ecbnh v\u00e0 lo\u1ea1i b\u1ecf pin c\u00f3 l\u1ed7i.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n
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L\u1eafp r\u00e1p ch\u00ednh x\u00e1c trong bo m\u1ea1ch \u0111i\u1ec7n t\u1eed<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Trong qu\u00e1 tr\u00ecnh x\u00e1c minh l\u1eafp r\u00e1p cu\u1ed1i c\u00f9ng, h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y 2D v\u00e0 3D th\u01b0\u1eddng ki\u1ec3m tra PCB \u0111\u1ec3 t\u00ecm s\u1ef1 hi\u1ec7n di\u1ec7n v\u00e0 v\u1ecb tr\u00ed ch\u00ednh x\u00e1c c\u1ee7a \u0111\u00e8n LED, b\u1ed9 vi x\u1eed l\u00fd v\u00e0 c\u00e1c thi\u1ebft b\u1ecb g\u1eafn tr\u00ean b\u1ec1 m\u1eb7t kh\u00e1c. C\u00e1c th\u00e0nh ph\u1ea7n b\u1ecb thi\u1ebfu ho\u1eb7c \u0111\u01b0\u1ee3c \u0111\u1ecbnh v\u1ecb sai c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn hi\u1ec7u su\u1ea5t v\u00e0 tu\u1ed5i th\u1ecd c\u1ee7a PCB. Nh\u1eefng l\u1ed7i n\u00e0y ph\u1ea3i \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n tr\u01b0\u1edbc khi PCB \u0111\u01b0\u1ee3c l\u1eafp r\u00e1p v\u00e0o thi\u1ebft b\u1ecb ho\u1eb7c v\u1eadn chuy\u1ec3n cho kh\u00e1ch h\u00e0ng. Tuy nhi\u00ean, nh\u1eefng thay \u0111\u1ed5i nh\u1ecf v\u1ec1 ngo\u1ea1i h\u00ecnh \u2014 cho d\u00f9 do s\u1ef1 t\u01b0\u01a1ng ph\u1ea3n \u00e1nh s\u00e1ng tinh vi, thay \u0111\u1ed5i v\u1ec1 g\u00f3c nh\u00ecn v\u00e0 h\u01b0\u1edbng ho\u1eb7c \u00e1nh s\u00e1ng ch\u00f3i tr\u00ean b\u1ec1 m\u1eb7t kim lo\u1ea1i \u2014 c\u00f3 th\u1ec3 g\u00e2y nh\u1ea7m l\u1eabn cho m\u1ed9t h\u1ec7 th\u1ed1ng ki\u1ec3m tra t\u1ef1 \u0111\u1ed9ng. C\u00e1c b\u1ed9 ph\u1eadn g\u1ea7n nhau r\u1ea5t kh\u00f3 \u0111\u1ec3 h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y (machine vision) ph\u00e2n bi\u1ec7t \u0111\u01b0\u1ee3c nh\u01b0 c\u00e1c b\u1ed9 ph\u1eadn \u0111\u1ed9c l\u1eadp. Vi\u1ec7c l\u1eadp tr\u00ecnh c\u00e1c ki\u1ec3m tra n\u00e0y th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc t\u1ed1n nhi\u1ec1u th\u1eddi gian, d\u1ec5 x\u1ea3y ra l\u1ed7i v\u00e0 l\u00e0 th\u00e1ch th\u1ee9c \u0111\u1ed1i v\u1edbi k\u1ef9 s\u01b0 hi\u1ec7n tr\u01b0\u1eddng trong vi\u1ec7c duy tr\u00ec. Nh\u00e2n vi\u00ean ki\u1ec3m tra, m\u1eb7c d\u00f9 c\u00f3 kh\u1ea3 n\u0103ng x\u00e1c \u0111\u1ecbnh c\u00e1c th\u00e0nh ph\u1ea7n n\u00e0y, kh\u00f4ng th\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u x\u1eed l\u00fd t\u1ed1c \u0111\u1ed9 cao.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p c\u00f3 th\u1ec3 b\u1ea3o tr\u00ec t\u1ea1i hi\u1ec7n tr\u01b0\u1eddng, c\u1ea1nh tranh v\u1edbi s\u1ef1 ki\u1ec3m tra c\u1ee7a con ng\u01b0\u1eddi \u0111\u1ec3 x\u00e1c minh vi\u1ec7c l\u1eafp r\u00e1p PCB. C\u00f4ng c\u1ee5 x\u00e1c minh l\u1eafp r\u00e1p v\u00e0 v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn h\u1ecdc c\u00e1ch x\u00e1c \u0111\u1ecbnh c\u00e1c th\u00e0nh ph\u1ea7n t\u1eeb h\u00ecnh \u1ea3nh \u201ct\u1ed1t\u201d \u0111\u01b0\u1ee3c ch\u00fa th\u00edch, x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh tham chi\u1ebfu v\u1ec1 h\u00ecnh d\u1ea1ng b\u00ecnh th\u01b0\u1eddng c\u1ee7a ch\u00fang. C\u00f4ng c\u1ee5 n\u00e0y t\u1ed5ng qu\u00e1t h\u00f3a c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ph\u00e2n bi\u1ec7t c\u1ee7a c\u00e1c th\u00e0nh ph\u1ea7n d\u1ef1a tr\u00ean k\u00edch th\u01b0\u1edbc, h\u00ecnh d\u1ea1ng v\u00e0 c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m b\u1ec1 m\u1eb7t c\u1ee7a ch\u00fang v\u00e0 t\u00ecm hi\u1ec3u h\u00ecnh d\u00e1ng b\u00ecnh th\u01b0\u1eddng c\u1ee7a ch\u00fang, c\u0169ng nh\u01b0 v\u1ecb tr\u00ed chung c\u1ee7a ch\u00fang tr\u00ean b\u1ea3ng. Trong th\u1eddi gian ch\u1ea1y, c\u00f4ng c\u1ee5 ph\u00e2n t\u00edch t\u1ea5t c\u1ea3 c\u00e1c khu v\u1ef1c li\u00ean quan c\u1ee7a bo m\u1ea1ch \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh v\u00e0 \u0111\u1ebfm c\u00e1c th\u00e0nh ph\u1ea7n, b\u1ea5t ch\u1ea5p s\u1ef1 thay \u0111\u1ed5i c\u1ee7a ch\u00fang. B\u1eb1ng c\u00e1ch n\u00e0y, vi\u1ec7c ki\u1ec3m tra x\u00e1c \u0111\u1ecbnh xem c\u00e1c th\u00e0nh ph\u1ea7n c\u00f3 m\u1eb7t hay kh\u00f4ng v\u00e0 c\u00f3 th\u1ec3 cho bi\u1ebft li\u1ec7u bo m\u1ea1ch \u0111\u00e3 \u0111\u01b0\u1ee3c l\u1eafp r\u00e1p ch\u00ednh x\u00e1c hay ch\u01b0a.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra m\u1ed1i h\u00e0n \u0111i\u1ec7n tr\u1edf<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

\u0110\u1ec3 m\u1ed9t linh ki\u1ec7n nh\u01b0 diode chu\u1ed9t \u0111\u01b0\u1ee3c g\u1eafn m\u00e0 kh\u00f4ng l\u00e0m \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn k\u1ebft n\u1ed1i \u0111i\u1ec7n c\u1ee7a n\u00f3, \u0111i\u1ec7n tr\u1edf h\u00e0n ph\u1ea3i \u0111\u01b0\u1ee3c d\u00e1n s\u1ea1ch v\u00e0o b\u1ea3ng m\u1ea1ch tr\u1ea7n. Ngay c\u1ea3 nh\u1eefng khi\u1ebfm khuy\u1ebft nh\u1ecf trong v\u1eadt h\u00e0n c\u0169ng c\u00f3 th\u1ec3 g\u00e2y \u0111\u1ee9t d\u00e2y, ch\u1eadp v\u00e0 c\u00e1c s\u1ef1 c\u1ed1 \u0111i\u1ec7n kh\u00e1c. Nh\u1eefng khuy\u1ebft t\u1eadt n\u00e0y kh\u00e1c nhau v\u1ec1 k\u00edch th\u01b0\u1edbc, h\u00ecnh d\u1ea1ng v\u00e0 s\u1ef1 xu\u1ea5t hi\u1ec7n do \u00e1nh s\u00e1ng ch\u00f3i. R\u1ea5t kh\u00f3 \u0111\u1ec3 l\u1eadp tr\u00ecnh ki\u1ec3m tra t\u1ef1 \u0111\u1ed9ng c\u00f3 th\u1ec3 ch\u1ecbu \u0111\u01b0\u1ee3c s\u1ef1 thay \u0111\u1ed5i \u0111\u00e1ng k\u1ec3 c\u1ee7a b\u1ed9 ph\u1eadn trong nh\u1eefng \u0111i\u1ec1u ki\u1ec7n n\u00e0y.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning nhanh ch\u00f3ng x\u00e1c \u0111\u1ecbnh \u0111i\u1ec7n tr\u1edf h\u00e0n tr\u00ean m\u1ed9t diode khi c\u00e1c ph\u01b0\u01a1ng ph\u00e1p kh\u00e1c c\u1ed1 g\u1eafng ki\u1ec3m tra trong c\u00f9ng \u0111i\u1ec1u ki\u1ec7n \u00e1nh s\u00e1ng. C\u00f4ng c\u1ee5 x\u00e1c minh l\u1eafp r\u00e1p v\u00e0 v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn \u0111\u00e0o t\u1ea1o tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c h\u00ecnh \u1ea3nh \u0111\u1ea1i di\u1ec7n c\u1ee7a kh\u00e1ng h\u00e0n \u0111\u1ec3 t\u00ecm hi\u1ec3u h\u00ecnh th\u00e1i b\u00ecnh th\u01b0\u1eddng c\u1ee7a v\u1eadt h\u00e0n \u201ct\u1ed1t\u201d v\u00e0 \u201cx\u1ea5u\u201d. Trong th\u1eddi gian ch\u1ea1y, c\u00f4ng c\u1ee5 c\u1ed1 \u0111\u1ecbnh v\u00e0 \u0111\u1ecbnh v\u1ecb ch\u1ed1ng l\u1ea1i PCB, m\u1eb7c d\u00f9 c\u00f3 s\u1ef1 thay \u0111\u1ed5i v\u1ec1 \u0111\u1ed9 ch\u00f3i \u0111\u1eb7c tr\u01b0ng. Trong giai \u0111o\u1ea1n th\u1ee9 hai c\u1ee7a qu\u00e1 tr\u00ecnh ki\u1ec3m tra, \u0111i\u1ec7n tr\u1edf h\u00e0n ph\u1ea3i \u0111\u01b0\u1ee3c ki\u1ec3m tra \u0111\u1ec3 t\u00ecm b\u1ea5t k\u1ef3 s\u1ef1 b\u1ea5t th\u01b0\u1eddng n\u00e0o v\u1ec1 ch\u1ee9c n\u0103ng, ch\u1eb3ng h\u1ea1n nh\u01b0 c\u1ea7u n\u1ed1i, c\u1ef1c \u0111\u1ea1i ho\u1eb7c l\u1ed7 h\u1ed5ng. B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt \u1edf ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o c\u00f4ng c\u1ee5 tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p \u0111\u1ea1i di\u1ec7n g\u1ed3m c\u00e1c ch\u1ea5t h\u00e0n \u201ct\u1ed1t\u201d \u0111\u00e3 bi\u1ebft v\u00e0 c\u00e1c ch\u1ea5t h\u00e0n \u201cx\u1ea5u\u201d c\u00f3 c\u00e1c khuy\u1ebft t\u1eadt \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n.<\/p>\n

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D\u1ef1a tr\u00ean nh\u1eefng h\u00ecnh \u1ea3nh n\u00e0y, Cognex Deep Learning t\u00ecm hi\u1ec3u k\u1ebft c\u1ea5u t\u1ef1 nhi\u00ean c\u1ee7a diode chu\u1ed9t, c\u0169ng nh\u01b0 h\u00ecnh d\u1ea1ng b\u00ecnh th\u01b0\u1eddng c\u1ee7a v\u1eadt h\u00e0n. H\u00ecnh \u1ea3nh b\u1ed5 sung c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c th\u00eam v\u00e0o t\u1eadp hu\u1ea5n luy\u1ec7n trong qu\u00e1 tr\u00ecnh ki\u1ec3m tra x\u00e1c nh\u1eadn \u0111\u1ec3 ph\u1ea3n \u00e1nh c\u00e1c v\u00ed d\u1ee5 b\u1ed5 sung v\u00e0 t\u1ed1i \u01b0u h\u00f3a m\u00f4 h\u00ecnh. C\u00e1c th\u00f4ng s\u1ed1 kh\u00e1c nhau c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh trong giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o v\u00e0 x\u00e1c nh\u1eadn \u0111\u1ec3 gi\u00fap gi\u1ea3i th\u00edch c\u00e1c bi\u1ebfn th\u1ec3 v\u1ec1 ngo\u1ea1i h\u00ecnh \u0111\u1ec3 ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c t\u1ea5t c\u1ea3 c\u00e1c \u0111i\u1ed1t c\u00f3 m\u1ed1i h\u00e0n b\u1ecb l\u1ed7i.<\/p>\n<\/div>\n<\/div>\n

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\"deep<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra \u0111\u1ed9 th\u1ea9m m\u1ef9 c\u1ee7a v\u1ecf ngo\u00e0i s\u1ea3n ph\u1ea9m<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Vi\u1ec7c ki\u1ec3m tra th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 kh\u00f3 kh\u0103n khi c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c nhau, cho d\u00f9 \u1edf c\u1ea5p \u0111\u1ed9 th\u00e0nh ph\u1ea7n hay \u1edf c\u1ea5p \u0111\u1ed9 bao b\u00ec v\u00e0 v\u1ecf. V\u1ebft x\u01b0\u1edbc, v\u1ebft l\u00f5m v\u00e0 c\u00e1c khuy\u1ebft t\u1eadt th\u1ea9m m\u1ef9 kh\u00e1c c\u00f3 th\u1ec3 kh\u00f4ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ee9c n\u0103ng nh\u01b0ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ea5t l\u01b0\u1ee3ng th\u00e0nh ph\u1ea9m v\u00e0 c\u1ea3m nh\u1eadn c\u1ee7a ng\u01b0\u1eddi ti\u00eau d\u00f9ng. M\u1ed9t s\u1ed1 khi\u1ebfm khuy\u1ebft th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 l\u00e0 nguy\u00ean nh\u00e2n r\u00f5 r\u00e0ng d\u1eabn \u0111\u1ebfn vi\u1ec7c b\u1ecb t\u1eeb ch\u1ed1i, trong khi nh\u1eefng khi\u1ebfm khuy\u1ebft nh\u1ecf kh\u00e1c c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c. V\u00ec l\u00fd do n\u00e0y, c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u1ea7n \u0111\u00e0o t\u1ea1o m\u1ed9t h\u1ec7 th\u1ed1ng ki\u1ec3m tra \u0111\u1ec3 t\u00ecm ki\u1ebfm c\u00e1c khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3 v\u00e0 ph\u00e2n bi\u1ec7t ch\u00fang v\u1edbi c\u00e1c khuy\u1ebft \u0111i\u1ec3m nh\u1ecf. L\u1eadp tr\u00ecnh ki\u1ec3m tra \u0111\u1ed9 ph\u1ee9c t\u1ea1p n\u00e0y th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc y\u00eau c\u1ea7u c\u00e1c th\u01b0 vi\u1ec7n l\u1ed7i ph\u1ee9c t\u1ea1p. S\u1ef1 ki\u1ec3m tra c\u1ee7a con ng\u01b0\u1eddi, m\u1eb7c d\u00f9 linh ho\u1ea1t h\u01a1n, nh\u01b0ng qu\u00e1 ch\u1eadm, kh\u00f4ng \u0111\u00e1ng tin c\u1eady v\u00e0 kh\u00f4ng nh\u1ea5t qu\u00e1n.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i trong ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t, m\u1ed9t k\u1ef9 s\u01b0 c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o Cognex Deep Learning \u0111\u1ec3 t\u00ecm ki\u1ebfm c\u00e1c khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3, ch\u1eb3ng h\u1ea1n nh\u01b0 v\u1ebft x\u01b0\u1edbc, \u0111\u1ed3ng th\u1eddi b\u1ecf qua nh\u1eefng d\u1ecb th\u01b0\u1eddng v\u00e0 bi\u1ebfn th\u1ec3 kh\u00f4ng quan tr\u1ecdng. C\u00f4ng c\u1ee5 n\u00e0y \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a \u0111\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi nh\u1eefng h\u00ecnh \u1ea3nh c\u00f3 \u0111\u1ed9 t\u01b0\u01a1ng ph\u1ea3n th\u1ea5p ho\u1eb7c \u0111\u01b0\u1ee3c ch\u1ee5p k\u00e9m. V\u00ed d\u1ee5: h\u00ecnh \u1ea3nh b\u00ean d\u01b0\u1edbi minh h\u1ecda c\u00e1ch c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt ph\u00e2n t\u00edch c\u1ea3 h\u00ecnh \u1ea3nh t\u1ed1t v\u00e0 x\u1ea5u c\u1ee7a tai nghe nh\u00e9t tai. Trong th\u1eddi gian ch\u1ea1y, ph\u1ea7n m\u1ec1m m\u00f4 t\u1ea3 c\u00e1c h\u00ecnh \u1ea3nh c\u00f3 v\u1ebft tr\u1ea7y x\u01b0\u1edbc nghi\u00eam tr\u1ecdng l\u00e0 b\u1ecb l\u1ed7i, \u0111\u00e3 h\u1ecdc c\u00e1ch nh\u1eadn bi\u1ebft v\u00e0 b\u1ecf qua c\u00e1c nh\u01b0\u1ee3c \u0111i\u1ec3m th\u1ea9m m\u1ef9 nh\u1ecf.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra ch\u1ee9ng nh\u1eadn l\u1eafp r\u00e1p v\u00e0 th\u1ea9m m\u1ef9 c\u1ee7a module pin<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Trong qu\u00e1 tr\u00ecnh ki\u1ec3m tra ch\u00e8n tr\u01b0\u1edbc khi l\u1eafp r\u00e1p, ph\u1ea7n b\u00ean trong c\u1ee7a \u0111i\u1ec7n tho\u1ea1i s\u1ebd \u0111\u01b0\u1ee3c ki\u1ec3m tra xem c\u00f3 khuy\u1ebft t\u1eadt hay kh\u00f4ng tr\u01b0\u1edbc khi l\u1eafp r\u00e1p v\u1ecf. Pin c\u00f3 th\u1ec3 b\u1ecb h\u1ecfng khi ch\u00fang \u0111\u01b0\u1ee3c d\u1eabn v\u00e0o v\u1ecf. Vi\u1ec7c x\u00e1c \u0111\u1ecbnh v\u1ecb tr\u00ed v\u00e0 ki\u1ec3m tra pin r\u1ea5t kh\u00f3 kh\u0103n do vi\u1ec7c l\u1eafp r\u00e1p \u0111i\u1ec7n tho\u1ea1i lu\u00f4n kh\u00f3 v\u00e0 kh\u00f4ng \u1ed5n \u0111\u1ecbnh. Ph\u1ea7n m\u1ec1m th\u1ecb gi\u00e1c deep learning gi\u00fap \u0111\u01a1n gi\u1ea3n h\u00f3a vi\u1ec7c ph\u00e1t hi\u1ec7n t\u1ef1 \u0111\u1ed9ng v\u00e0 x\u00e1c \u0111\u1ecbnh \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a c\u00e1c khuy\u1ebft t\u1eadt tr\u00ean b\u1ec1 m\u1eb7t kim lo\u1ea1i c\u1ee7a pin.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning cho ph\u00e9p nh\u00e0 s\u1ea3n xu\u1ea5t ki\u1ec3m tra t\u00ednh to\u00e0n v\u1eb9n c\u1ee7a pin tr\u01b0\u1edbc khi \u0111i\u1ec7n tho\u1ea1i tr\u1ea3i qua qu\u00e1 tr\u00ecnh l\u1eafp r\u00e1p cu\u1ed1i c\u00f9ng v\u00e0 \u0111\u1ec3 ph\u00e2n bi\u1ec7t gi\u1eefa c\u00e1c b\u1ea5t th\u01b0\u1eddng v\u1ec1 th\u1ea9m m\u1ef9 v\u00e0 ch\u1ee9c n\u0103ng. S\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt \u1edf ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t, m\u1ed9t k\u1ef9 s\u01b0 c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o ph\u1ea7n m\u1ec1m v\u1ec1 h\u00ecnh \u1ea3nh \u201ct\u1ed1t\u201d c\u0169ng nh\u01b0 h\u00ecnh \u1ea3nh \u201cx\u1ea5u\u201d v\u1edbi c\u00e1c khuy\u1ebft t\u1eadt \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n. T\u1eeb nh\u1eefng h\u00ecnh \u1ea3nh n\u00e0y, c\u00f4ng c\u1ee5 t\u00ecm hi\u1ec3u h\u00ecnh th\u1ee9c b\u00ecnh th\u01b0\u1eddng c\u1ee7a pin, bao g\u1ed3m c\u00e1c bi\u1ebfn th\u1ec3 t\u1ef1 nhi\u00ean c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c. C\u00e1c th\u00f4ng s\u1ed1 c\u00f3 th\u1ec3 li\u00ean t\u1ee5c \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh trong giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o v\u00e0 giai \u0111o\u1ea1n x\u00e1c nh\u1eadn cho \u0111\u1ebfn khi m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o ph\u00e1t hi\u1ec7n v\u00e0 ph\u00e2n \u0111o\u1ea1n ch\u00ednh x\u00e1c t\u1ea5t c\u1ea3 c\u00e1c h\u00ecnh \u1ea3nh c\u00f3 b\u1ea5t th\u01b0\u1eddng ch\u1ee9c n\u0103ng. Sau khi \u0111\u01b0\u1ee3c tri\u1ec3n khai, c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i s\u1ebd x\u00e1c \u0111\u1ecbnh v\u00e0 lo\u1ea1i b\u1ecf pin c\u00f3 l\u1ed7i.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra th\u1ea9m m\u1ef9 \u0111\u1ea7u d\u1eabn IC<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Th\u1ecb gi\u00e1c m\u00e1y (machine vision) \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong su\u1ed1t qu\u00e1 tr\u00ecnh s\u1ea3n xu\u1ea5t ch\u1ea5t b\u00e1n d\u1eabn \u0111\u1ec3 gi\u00e1m s\u00e1t ch\u1eb7t ch\u1ebd ch\u1ea5t l\u01b0\u1ee3ng v\u00e0 b\u1eaft l\u1ed7i. C\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t ph\u1ea3i c\u1ea3nh gi\u00e1c \u0111\u1ed1i v\u1edbi c\u00e1c ch\u1ed1t b\u1ecb x\u01b0\u1edbc, xo\u1eafn, cong ho\u1eb7c thi\u1ebfu. M\u1ed9t con chip c\u00f3 kh\u1ea3 n\u0103ng ch\u1ecbu l\u1ed7i th\u1ea5p \u0111\u1ebfn m\u1ee9c b\u1ea5t k\u1ef3 sai s\u00f3t n\u00e0o, d\u00f9 l\u00e0 b\u1ec1 ngo\u00e0i nh\u1ea5t, \u0111\u1ec1u l\u00e0 nguy\u00ean nh\u00e2n d\u1eabn \u0111\u1ebfn vi\u1ec7c lo\u1ea1i b\u1ecf. V\u1edbi r\u1ea5t nhi\u1ec1u lo\u1ea1i khuy\u1ebft t\u1eadt ti\u1ec1m \u1ea9n, n\u00f3 kh\u00f4ng hi\u1ec7u qu\u1ea3 \u0111\u1ec3 l\u1eadp tr\u00ecnh ki\u1ec3m tra th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc. Ph\u1ea7n m\u1ec1m th\u1ecb gi\u00e1c deep learning c\u00f3 th\u1ec3 gi\u00fap h\u1ea1n ch\u1ebf c\u00e1c khuy\u1ebft t\u1eadt b\u00e1n d\u1eabn v\u00e0 c\u1ea3i thi\u1ec7n n\u0103ng su\u1ea5t m\u00e0 kh\u00f4ng c\u1ea7n s\u1eed d\u1ee5ng c\u00e1c th\u01b0 vi\u1ec7n l\u1ed7i m\u1edf r\u1ed9ng.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Vi\u1ec7c t\u00ecm ki\u1ebfm t\u1ea5t c\u1ea3 c\u00e1c khuy\u1ebft t\u1eadt m\u1ed9t c\u00e1ch r\u00f5 r\u00e0ng l\u00e0 qu\u00e1 ph\u1ee9c t\u1ea1p v\u00e0 t\u1ed1n th\u1eddi gian. Cognex Deep Learning cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p \u0111\u01a1n gi\u1ea3n \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh t\u1ea5t c\u1ea3 c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m b\u1ea5t th\u01b0\u1eddng, ngay c\u1ea3 khi kh\u00f4ng \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o v\u1ec1 h\u00ecnh \u1ea3nh \u201cx\u1ea5u\u201d. Thay v\u00e0o \u0111\u00f3, m\u1ed9t k\u1ef9 s\u01b0 s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i \u0111\u1ec3 \u0111\u00e0o t\u1ea1o ph\u1ea7n m\u1ec1m v\u1ec1 m\u1ed9t m\u1eabu h\u00ecnh \u1ea3nh \u201ct\u1ed1t\u201d \u1edf ch\u1ebf \u0111\u1ed9 kh\u00f4ng gi\u00e1m s\u00e1t. Cognex Deep Learning t\u00ecm hi\u1ec3u h\u00ecnh d\u00e1ng v\u00e0 v\u1ecb tr\u00ed b\u00ecnh th\u01b0\u1eddng c\u1ee7a c\u00e1c d\u00e2y d\u1eabn v\u00e0 ch\u00e2n c\u1ee7a chip v\u00e0 m\u00f4 t\u1ea3 t\u1ea5t c\u1ea3 c\u00e1c t\u00ednh n\u0103ng sai l\u1ec7ch l\u00e0 b\u1ecb l\u1ed7i.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ph\u00e2n lo\u1ea1i t\u1ee5 \u0111i\u1ec7n<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Vi\u1ec7c ph\u00e2n lo\u1ea1i c\u00e1c th\u00e0nh ph\u1ea7n \u0111i\u1ec7n t\u1eed c\u00f3 th\u1ec3 \u0111\u1eb7c bi\u1ec7t kh\u00f3 kh\u0103n khi c\u00e1c b\u1ed9 ph\u1eadn \u0111\u01b0\u1ee3c chia th\u00e0nh nhi\u1ec1u l\u1edbp, m\u1ed7i l\u1edbp c\u00f3 m\u1ed9t s\u1ed1 thay \u0111\u1ed5i tr\u1ef1c quan. T\u1ee5 \u0111i\u1ec7n kh\u00e1c nhau v\u1ec1 lo\u1ea1i (g\u1ed1m v\u00e0 \u0111i\u1ec7n), c\u0169ng nh\u01b0 k\u00edch th\u01b0\u1edbc v\u00e0 m\u00e0u s\u1eafc, t\u00f9y thu\u1ed9c v\u00e0o nh\u00e0 s\u1ea3n xu\u1ea5t v\u00e0 th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt c\u1ee7a ch\u00fang. Ngay c\u1ea3 trong c\u00f9ng m\u1ed9t lo\u1ea1i, c\u00f3 th\u1ec3 c\u00f3 nh\u1eefng bi\u1ebfn th\u1ec3 kh\u00f3 hi\u1ec3u v\u1ec1 m\u1eabu. H\u00ecnh d\u1ea1ng h\u00ecnh tr\u1ee5 v\u00e0 \u00e1nh s\u00e1ng c\u1ee7a ch\u00fang th\u1eadm ch\u00ed c\u00f3 th\u1ec3 ph\u1ee9c t\u1ea1p h\u01a1n. VisionPro ViDi cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p thay th\u1ebf d\u1ef1a tr\u00ean deep learning \u0111\u1ec3 t\u1ef1 \u0111\u1ed9ng h\u00f3a nhi\u1ec1u ph\u00e2n lo\u1ea1i trong m\u1ed9t h\u00ecnh \u1ea3nh duy nh\u1ea5t.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

S\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i, m\u1ed9t k\u1ef9 s\u01b0 \u0111\u00e0o t\u1ea1o ph\u1ea7n m\u1ec1m \u1edf ch\u1ebf \u0111\u1ed9 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c ch\u00fa th\u00edch trong \u0111\u00f3 c\u1ea3 t\u1ee5 \u0111i\u1ec7n v\u00e0ng v\u00e0 t\u1ee5 \u0111i\u1ec7n \u0111\u1ec1u \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i l\u00e0 c\u00e1c b\u1ed9 ph\u1eadn \u201ct\u1ed1t\u201d. Trong th\u1eddi gian ch\u1ea1y, m\u00f4 h\u00ecnh tr\u00edch xu\u1ea5t v\u00e0 ph\u00e2n \u0111o\u1ea1n t\u1ea5t c\u1ea3 c\u00e1c t\u1ee5 \u0111i\u1ec7n v\u00e0 t\u1ee5 \u0111i\u1ec7n v\u00e0ng l\u00e0m m\u1ed9t lo\u1ea1i.<\/p>\n

Trong ph\u1ea7n th\u1ee9 hai c\u1ee7a qu\u00e1 tr\u00ecnh ki\u1ec3m tra, c\u00f4ng c\u1ee5 ph\u00e2n lo\u1ea1i s\u1ebd t\u00ecm hi\u1ec3u c\u00e1c thu\u1ed9c t\u00ednh c\u1ee7a t\u1eebng t\u1ee5 \u0111i\u1ec7n, \u0111\u1ed3ng th\u1eddi ch\u1ecbu \u0111\u01b0\u1ee3c s\u1ef1 thay \u0111\u1ed5i trong c\u00f9ng m\u1ed9t lo\u1ea1i. B\u1eb1ng c\u00e1ch n\u00e0y, n\u00f3 c\u00f3 th\u1ec3 ph\u00e2n bi\u1ec7t c\u00e1c t\u1ee5 \u0111i\u1ec7n kh\u00e1c nhau b\u1eb1ng m\u00e0u s\u1eafc v\u00e0 d\u1ea5u hi\u1ec7u c\u1ee7a ch\u00fang, m\u1eb7c d\u00f9 ch\u00fang tr\u00f4ng gi\u1ed1ng nhau v\u1ec1 m\u1eb7t tr\u1ef1c quan. D\u1ef1a tr\u00ean m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o, Cognex Deep Learning ph\u00e2n lo\u1ea1i v\u00e0 s\u1eafp x\u1ebfp ch\u00ednh x\u00e1c c\u00e1c t\u1ee5 \u0111i\u1ec7n trong m\u1ed9t h\u00ecnh \u1ea3nh duy nh\u1ea5t trong th\u1eddi gian ch\u1ea1y..<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra k\u1ebft n\u1ed1i USB<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

\u0110i\u1ec7n tho\u1ea1i th\u00f4ng minh c\u1ea7n c\u00f3 \u0111\u1ea7u n\u1ed1i USB \u0111\u1ec3 s\u1ea1c v\u00e0 truy\u1ec1n d\u1eef li\u1ec7u. \u0110\u1ea7u n\u1ed1i n\u00e0y th\u01b0\u1eddng l\u00e0 m\u1ed9t s\u1ea3n ph\u1ea9m OEM v\u00e0 c\u1ea7n \u0111\u01b0\u1ee3c ki\u1ec3m tra t\u1ea5t c\u1ea3 c\u00e1c m\u1eb7t tr\u01b0\u1edbc khi \u0111\u01b0\u1ee3c x\u00f3a \u0111\u1ec3 l\u1eafp \u0111\u1eb7t. \u0110\u1ea7u n\u1ed1i bao g\u1ed3m c\u00e1c ti\u1ebfp \u0111i\u1ec3m ngu\u1ed3n v\u00e0 d\u1eef li\u1ec7u, t\u1ea5m ch\u1eafn, v\u00e0 m\u1ed9t s\u1ed1 d\u1ea1ng \u0111\u1ea7u n\u1ed1i ng\u00e0m.<\/p>\n

C\u00e1c \u0111\u1ea7u n\u1ed1i USB n\u00e0y c\u00f3 th\u1ec3 cho th\u1ea5y nhi\u1ec1u l\u1ed7i kh\u00e1c nhau, bao g\u1ed3m ch\u00e1y, b\u1eafn ng\u1eafn, b\u1ee5i, x\u01b0\u1edbc v\u00e0 d\u1ecbch chuy\u1ec3n, \u1edf t\u1ea5t c\u1ea3 c\u00e1c m\u1eb7t. C\u00e1c khuy\u1ebft t\u1eadt nh\u1ecf, g\u1ea7n nh\u01b0 kh\u00f4ng nh\u00ecn th\u1ea5y tr\u00ean \u0111\u1ea7u l\u00e0m vi\u1ec7c c\u1ee7a \u0111\u1ea7u n\u1ed1i c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng l\u1edbn \u0111\u1ebfn vi\u1ec7c c\u00e1p s\u1ebd k\u1ebft n\u1ed1i t\u1ed1t nh\u01b0 th\u1ebf n\u00e0o, gi\u1eef ch\u1eb7t nh\u01b0 th\u1ebf n\u00e0o v\u00e0 vi\u1ec7c th\u00e1o ra d\u1ec5 d\u00e0ng nh\u01b0 th\u1ebf n\u00e0o. M\u1ed9t \u0111\u1ea7u n\u1ed1i nh\u01b0 v\u1eady ph\u1ea3i ho\u1ea1t \u0111\u1ed9ng su\u1ed1t \u0111\u1eddi c\u1ee7a \u0111i\u1ec7n tho\u1ea1i.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

C\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khi\u1ebfm khuy\u1ebft c\u1ee7a Cognex Deep Learning \u0111\u00e0o t\u1ea1o tr\u00ean c\u00e1c t\u1eadp d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh bao g\u1ed3m nhi\u1ec1u bi\u1ebfn th\u1ec3 ngo\u1ea1i h\u00ecnh quan tr\u1ecdng v\u1ec1 m\u1eb7t ch\u1ee9c n\u0103ng v\u00e0 nh\u1eefng bi\u1ebfn th\u1ec3 kh\u00f4ng c\u00f3 t\u00e1c \u0111\u1ed9ng ch\u1ee9c n\u0103ng v\u00e0 h\u1ecdc c\u00e1ch ph\u00e2n bi\u1ec7t ch\u00fang v\u1edbi nhau. Trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o, c\u00f3 th\u1ec3 b\u1ecf qua nh\u1eefng b\u1ea5t th\u01b0\u1eddng v\u1ec1 th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c \u0111\u1ec3 vi\u1ec7c \u0111\u00e0o t\u1ea1o ch\u1ec9 t\u1eadp trung v\u00e0o nh\u1eefng khi\u1ebfm khuy\u1ebft c\u00f3 th\u1ec3 c\u1ea3n tr\u1edf ch\u1ee9c n\u0103ng, gi\u00fap qu\u00e1 tr\u00ecnh di\u1ec5n ra \u0111\u01a1n gi\u1ea3n v\u00e0 nhanh ch\u00f3ng h\u01a1n. Khi \u0111\u01b0\u1ee3c tri\u1ec3n khai tr\u00ean d\u00e2y chuy\u1ec1n, \u00e1nh s\u00e1ng v\u00e0 c\u00e1ch x\u1ebfp \u0111\u1eb7t b\u1ed9 ph\u1eadn r\u1ea5t quan tr\u1ecdng \u0111\u1ec3 b\u1eaft \u0111\u01b0\u1ee3c c\u00e0ng nhi\u1ec1u khuy\u1ebft t\u1eadt c\u00e0ng t\u1ed1t.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra OCR tr\u00ean c\u00e1c l\u1eafp r\u00e1p PCB<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

H\u1ea7u h\u1ebft c\u00e1c chip \u0111\u01b0\u1ee3c l\u1eafp r\u00e1p tr\u00ean PCB \u0111\u1ec1u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n b\u1eb1ng m\u1ed9t chu\u1ed7i k\u00fd t\u1ef1 ch\u1eef v\u00e0 s\u1ed1 \u0111\u1ec3 theo d\u00f5i ch\u00fang trong qu\u00e1 tr\u00ecnh s\u1ea3n xu\u1ea5t. \u00c1nh s\u00e1ng ch\u00f3i c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn h\u00ecnh \u1ea3nh c\u00f3 \u0111\u1ed9 t\u01b0\u01a1ng ph\u1ea3n th\u1ea5p, khi\u1ebfn h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y (machine vision) kh\u00f3 x\u00e1c \u0111\u1ecbnh v\u1ecb tr\u00ed v\u00e0 nh\u1eadn d\u1ea1ng c\u00e1c k\u00fd t\u1ef1. \u0110\u1ec3 gi\u1ea3i m\u00e3 th\u00e0nh c\u00f4ng c\u00e1c k\u00fd t\u1ef1 tr\u00ean c\u00e1c linh ki\u1ec7n v\u00e0 m\u00f4-\u0111un \u0111i\u1ec7n t\u1eed, h\u1ec7 th\u1ed1ng nh\u1eadn d\u1ea1ng k\u00fd t\u1ef1 quang h\u1ecdc (OCR) c\u1ea7n ph\u1ea3i ch\u1ecbu \u0111\u01b0\u1ee3c c\u00e1c b\u1ec1 m\u1eb7t ph\u1ea3n chi\u1ebfu c\u0169ng nh\u01b0 c\u00e1c k\u00fd t\u1ef1 b\u1ecb bi\u1ebfn d\u1ea1ng, l\u1ec7ch v\u00e0 kh\u1eafc k\u00e9m.<\/p>\n

Gi\u1ea3i ph\u00e1p<\/strong><\/p>\n

V\u1edbi Cognex Deep Learning, b\u1ea1n c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng \u0111\u1ecdc c\u00e1c k\u00fd t\u1ef1 b\u1ecb bi\u1ebfn d\u1ea1ng, b\u1ea5t ch\u1ea5p nh\u1eefng kh\u00f3 kh\u0103n v\u1ec1 h\u00ecnh \u1ea3nh. C\u00e1ch ti\u1ebfp c\u1eadn OCR d\u1ef1a tr\u00ean deep learning n\u00e0y gi\u00fap ti\u1ebft ki\u1ec7m th\u1eddi gian trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o v\u00e0 ph\u00e1t tri\u1ec3n b\u1eb1ng c\u00e1ch gi\u1ea3m vi\u1ec7c d\u00e1n nh\u00e3n qu\u00e1 m\u1ee9c v\u00e0 \u0111\u1ecdc th\u00e0nh c\u00f4ng c\u00e1c k\u00fd t\u1ef1 trong c\u00e1c t\u00ecnh hu\u1ed1ng kh\u00f3 kh\u0103n. Ph\u1ea7n m\u1ec1m ch\u1ec9 y\u00eau c\u1ea7u m\u1ed9t k\u1ef9 s\u01b0 thi\u1ebft l\u1eadp v\u00f9ng quan t\u00e2m v\u00e0 k\u00edch th\u01b0\u1edbc k\u00fd t\u1ef1. Sau khi \u0111\u01b0\u1ee3c thi\u1ebft l\u1eadp, th\u01b0 vi\u1ec7n ph\u00f4ng ch\u1eef \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc c\u1ee7a c\u00f4ng c\u1ee5 s\u1ebd gi\u1ea3i m\u00e3 c\u00e1c k\u00fd t\u1ef1 v\u00e0 \u0111\u1ecdc c\u00e1c chu\u1ed7i m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u00e0o t\u1ea1o. Trong c\u00e1c t\u00ecnh hu\u1ed1ng m\u00e0 c\u00e1c k\u00fd t\u1ef1 r\u1ea5t kh\u00f3 \u0111\u1ecdc, ph\u1ea7n m\u1ec1m c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o l\u1ea1i tr\u1ef1c ti\u1ebfp b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c k\u00fd t\u1ef1 c\u00f3 bi\u1ebfn th\u1ec3.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ph\u00e2n t\u00edch khuy\u1ebft \u0111i\u1ec3m<\/h2>\n
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V\u1ea5n \u0111\u1ec1<\/strong><\/p>\n

Sau khi \u0111i\u1ec7n tho\u1ea1i th\u00f4ng minh \u0111\u01b0\u1ee3c l\u1eafp r\u00e1p ho\u00e0n ch\u1ec9nh nh\u01b0ng tr\u01b0\u1edbc khi \u0111\u00f3ng g\u00f3i, \u0111i\u1ec7n tho\u1ea1i th\u00f4ng minh ph\u1ea3i \u0111\u01b0\u1ee3c ki\u1ec3m tra xem c\u00f3 tr\u1ea7y x\u01b0\u1edbc, n\u1ee9t v\u1ee1, chip, v\u1ebft l\u00f5m, l\u1ec7ch, \u0111\u1ed5i m\u00e0u v\u00e0 c\u00e1c khuy\u1ebft t\u1eadt kh\u00e1c, c\u00f3 th\u1ec3 \u1edf nhi\u1ec1u n\u01a1i \u1edf b\u1ea5t c\u1ee9 \u0111\u00e2u tr\u00ean v\u1ecf v\u00e0 m\u1eb7t k\u00ednh. Nh\u1eefng khuy\u1ebft t\u1eadt n\u00e0y n\u00f3i chung kh\u00f4ng ph\u1ea3i l\u00e0 ch\u1ee9c n\u0103ng, nh\u01b0ng \u1ea3nh h\u01b0\u1edfng ti\u00eau c\u1ef1c \u0111\u1ebfn h\u00ecnh th\u1ee9c b\u00ean ngo\u00e0i c\u1ee7a s\u1ea3n ph\u1ea9m.<\/p>\n

C\u00e1c \u1ee9ng d\u1ee5ng th\u1ecb gi\u00e1c d\u1ef1a tr\u00ean quy t\u1eafc truy\u1ec1n th\u1ed1ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o v\u1ec1 m\u1ed9t lo\u1ea1t c\u00e1c khi\u1ebfm khuy\u1ebft \u0111i\u1ec3n h\u00ecnh, ch\u1eb3ng h\u1ea1n nh\u01b0 v\u1ebft x\u01b0\u1edbc \u1edf khu v\u1ef1c \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh tr\u01b0\u1edbc ho\u1eb7c v\u1ebft n\u1ee9t c\u00f3 xu h\u01b0\u1edbng xu\u1ea5t hi\u1ec7n \u1edf m\u1ed9t g\u00f3c m\u00e0n h\u00ecnh, nh\u01b0ng ph\u1ea1m vi c\u00e1c khi\u1ebfm khuy\u1ebft c\u00f3 th\u1ec3 x\u1ea3y ra l\u00e0 c\u1ef1c k\u1ef3 l\u1edbn v\u00e0 c\u00f3 th\u1ec3 xu\u1ea5t hi\u1ec7n \u1edf b\u1ea5t k\u1ef3 \u0111\u00e2u tr\u00ean \u0111i\u1ec7n tho\u1ea1i. Ngay c\u1ea3 m\u1ed9t khi\u1ebfm khuy\u1ebft t\u01b0\u01a1ng \u0111\u1ed1i kh\u00f4ng th\u01b0\u1eddng xuy\u00ean, ch\u1eb3ng h\u1ea1n nh\u01b0 s\u1ef1 \u0111\u1ed5i m\u00e0u c\u1ee7a v\u1ecf, ho\u1eb7c v\u1ebft l\u00f5m do t\u00e1c \u0111\u1ed9ng c\u1ee7a c\u00e1nh tay robot, c\u0169ng c\u1ea7n ph\u1ea3i \u0111\u01b0\u1ee3c ki\u1ec3m tra tr\u01b0\u1edbc khi \u0111\u00f3ng g\u00f3i. V\u1edbi t\u1ed1c \u0111\u1ed9 s\u1ea3n xu\u1ea5t \u0111i\u1ec7n tho\u1ea1i, s\u1ef1 ki\u1ec3m tra c\u1ee7a con ng\u01b0\u1eddi kh\u00f4ng ph\u00f9 h\u1ee3p v\u1edbi hi\u1ec7u qu\u1ea3 th\u1ea5p.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex Deep Learning \u0111\u00e0o t\u1ea1o tr\u00ean c\u00e1c b\u1ed9 h\u00ecnh \u1ea3nh hi\u1ec3n th\u1ecb m\u1ed9t lo\u1ea1t c\u00e1c khuy\u1ebft t\u1eadt kh\u00f4ng th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c c\u0169ng nh\u01b0 c\u00e1c b\u1ed9 h\u00ecnh \u1ea3nh hi\u1ec3n th\u1ecb c\u00e1c bi\u1ebfn th\u1ec3 th\u1ea9m m\u1ef9 n\u1eb1m trong ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c v\u00e0 h\u1ecdc c\u00e1ch ph\u00e2n lo\u1ea1i ch\u00fang. C\u00e1c th\u00f4ng s\u1ed1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh trong giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e1c ti\u00eau ch\u00ed ch\u1ea5p nh\u1eadn v\u00e0 t\u1eeb ch\u1ed1i \u0111\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u c\u1ee7a th\u1ecb tr\u01b0\u1eddng \u0111\u1ed1i v\u1edbi t\u1ea5t c\u1ea3 c\u00e1c v\u00ed d\u1ee5. T\u1eadn d\u1ee5ng \u00e1nh s\u00e1ng \u0111\u1eb7c bi\u1ec7t v\u00e0 ph\u1ea7n tr\u00ecnh b\u00e0y ph\u00f9 h\u1ee3p k\u1ebft h\u1ee3p v\u1edbi Cognex Deep Learning, c\u00f4ng c\u1ee5 ph\u00e2n t\u00edch h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o s\u1ebd ki\u1ec3m tra m\u00e0n h\u00ecnh, d\u00e2y \u0111eo, m\u1eb7t sau v\u00e0 ph\u00e1t hi\u1ec7n b\u1ea5t k\u1ef3 s\u1ef1 k\u1ebft h\u1ee3p n\u00e0o c\u1ee7a v\u1ebft l\u00f5m, v\u1ebft x\u01b0\u1edbc v\u00e0 s\u1ef1 \u0111\u1ed5i m\u00e0u \u1edf b\u1ea5t k\u1ef3 \u0111\u00e2u tr\u00ean \u0111i\u1ec7n tho\u1ea1i th\u00f4ng minh. Vi\u1ec7c ki\u1ec3m tra k\u1ef9 l\u01b0\u1ee1ng v\u00e0 ch\u00ednh x\u00e1c n\u00e0y \u0111\u1ea3m b\u1ea3o r\u1eb1ng ch\u1ec9 nh\u1eefng s\u1ea3n ph\u1ea9m kh\u00f4ng c\u00f3 khuy\u1ebft t\u1eadt v\u1ec1 m\u1ef9 ph\u1ea9m m\u1edbi chuy\u1ec3n sang b\u01b0\u1edbc \u0111\u00f3ng g\u00f3i.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra b\u1ed9 l\u1ecdc tr\u00ean loa c\u1ee7a \u0111i\u1ec7n tho\u1ea1i di \u0111\u1ed9ng<\/h2>\n
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V\u1ea4N \u0110\u1ec0<\/strong><\/p>\n

L\u01b0\u1edbi loa l\u00e0 m\u1ed9t mi\u1ebfng kim lo\u1ea1i \u0111\u1ee5c l\u1ed7 \u0111\u1ec3 b\u1ea3o v\u1ec7 m\u00f4-\u0111un \u00e2m thanh c\u1ee7a \u0111i\u1ec7n tho\u1ea1i di \u0111\u1ed9ng kh\u1ecfi b\u1ee5i v\u00e0 h\u01b0 h\u1ea1i \u0111\u1ed3ng th\u1eddi \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn \u00e2m thanh m\u1ed9t c\u00e1ch t\u1ed1i thi\u1ec3u.<\/p>\n

L\u01b0\u1edbi ph\u1ea3i \u0111\u01b0\u1ee3c ki\u1ec3m tra b\u1eb1ng m\u1eaft th\u01b0\u1eddng \u0111\u1ec3 t\u00ecm c\u00e1c v\u1ebft n\u1ee9t, v\u1ebft x\u01b0\u1edbc, l\u1ed7 th\u1ee7ng, bi\u1ebfn d\u1ea1ng, c\u00e1c c\u1ea1nh b\u1ecb g\u00e3y, t\u1ea1p ch\u1ea5t l\u1ea1 nh\u01b0 b\u1ee5i b\u1ea9n ho\u1eb7c t\u00f3c, v\u00e0 h\u01b0 h\u1ecfng do qu\u00e1 tr\u00ecnh \u0111\u1ee5c l\u1ed7. L\u01b0\u1edbi n\u00e0y c\u00f3 th\u1ec3 nh\u00ecn th\u1ea5y \u0111\u1ed1i v\u1edbi ng\u01b0\u1eddi d\u00f9ng cu\u1ed1i, v\u00e0 do \u0111\u00f3, h\u01b0 h\u1ecfng th\u1ea9m m\u1ef9 c\u0169ng ph\u1ea3i \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n.<\/p>\n

B\u1edfi v\u00ec m\u1eaft l\u01b0\u1edbi l\u00e0 c\u00e1c b\u1ed9 ph\u1eadn c\u00f3 k\u1ebft c\u1ea5u ba chi\u1ec1u, ch\u00fang t\u1ea1o ra c\u00e1c m\u00f4 h\u00ecnh \u00e1nh s\u00e1ng ph\u1ea3n x\u1ea1 v\u00e0 \u0111i\u1ec3m n\u1ed5i b\u1eadt ph\u1ee9c t\u1ea1p. Ngay c\u1ea3 m\u1ed9t \u0111\u1ed9 nghi\u00eang nh\u1ecf trong l\u01b0\u1edbi c\u0169ng c\u00f3 th\u1ec3 thay \u0111\u1ed5i ho\u00e0n to\u00e0n m\u00f4 h\u00ecnh. Trong khi \u0111\u00f3, c\u00e1c khuy\u1ebft t\u1eadt nh\u01b0 nhi\u1ec5m b\u1ea9n ho\u1eb7c c\u00e1c v\u1ebft x\u01b0\u1edbc kh\u00f4ng \u0111\u1ec1u c\u00f3 th\u1ec3 xu\u1ea5t hi\u1ec7n \u1edf b\u1ea5t c\u1ee9 \u0111\u00e2u tr\u00ean b\u1ed9 ph\u1eadn. \u0110i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 \u1edf b\u1ec1 m\u1eb7t b\u00ean ngo\u00e0i, ho\u1eb7c trong kho\u1ea3ng tr\u1ed1ng gi\u1eefa c\u00e1c d\u00e2y. Nh\u1eefng bi\u1ebfn th\u1ec3 n\u00e0y g\u00e2y kh\u00f3 kh\u0103n cho vi\u1ec7c l\u1eadp tr\u00ecnh th\u1ecb gi\u00e1c m\u00e1y truy\u1ec1n th\u1ed1ng \u0111\u1ec3 x\u1eed l\u00fd m\u1ecdi tr\u01b0\u1eddng h\u1ee3p c\u00f3 th\u1ec3 x\u1ea3y ra.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

\u0110\u1ec3 x\u00e1c \u0111\u1ecbnh c\u00e1c khi\u1ebfm khuy\u1ebft c\u1ee7a l\u01b0\u1edbi loa, c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khi\u1ebfm khuy\u1ebft c\u1ee7a Cognex Deep Learning \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o v\u1ec1 nhi\u1ec1u l\u1ef1a ch\u1ecdn l\u01b0\u1edbi loa \u0111\u1ec3 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng, bao g\u1ed3m c\u00e1c bi\u1ebfn th\u1ec3 \u00e1nh s\u00e1ng ph\u1ed5 bi\u1ebfn v\u00e0 m\u1ee9c \u0111\u1ed9 khi\u1ebfm khuy\u1ebft th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c. Khi qu\u00e9t qua c\u00e1c m\u1eaft l\u01b0\u1edbi, n\u00f3 s\u1ebd ph\u00e2n t\u00edch v\u00e0 g\u1eafn c\u1edd cho b\u1ea5t k\u1ef3 \u0111i\u1ec3m n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c, \u0111\u1ed3ng th\u1eddi gi\u1ea3m thi\u1ec3u c\u00e1c k\u1ebft qu\u1ea3 d\u01b0\u01a1ng t\u00ednh gi\u1ea3. Cognex Deep Learning c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng k\u1ebft h\u1ee3p v\u1edbi th\u1ecb gi\u00e1c m\u00e1y truy\u1ec1n th\u1ed1ng, \u0111i\u1ec1u n\u00e0y t\u1ed1t nh\u1ea5t cho c\u00e1c t\u00e1c v\u1ee5 c\u0103n ch\u1ec9nh ch\u00ednh x\u00e1c v\u00e0 \u0111\u00e1nh gi\u00e1 k\u00edch th\u01b0\u1edbc l\u01b0\u1edbi loa. S\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a deep learning c\u1ed9ng v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 th\u1ecb gi\u00e1c truy\u1ec1n th\u1ed1ng v\u01b0\u1ee3t xa c\u00e1ch ki\u1ec3m tra th\u1ee7 c\u00f4ng, v\u1edbi t\u1ed1c \u0111\u1ed9 cao h\u01a1n \u0111\u00e1ng k\u1ec3. V\u00e0 n\u00f3 l\u00e0m nh\u01b0 v\u1eady trong khi duy tr\u00ec s\u1ef1 nh\u1ea5t qu\u00e1n gi\u1eefa c\u00e1c ca v\u00e0 d\u00e2y chuy\u1ec1n s\u1ea3n xu\u1ea5t.<\/strong><\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra b\u1ec1 m\u1eb7t module camera<\/h2>\n
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V\u1ea4N \u0110\u1ec0<\/strong><\/p>\n

Tr\u01b0\u1edbc khi l\u1eafp \u0111\u1eb7t m\u00f4-\u0111un m\u00e1y \u1ea3nh v\u00e0o thi\u1ebft b\u1ecb di \u0111\u1ed9ng, b\u1ec1 m\u1eb7t c\u1ee7a m\u00f4-\u0111un ph\u1ea3i \u0111\u01b0\u1ee3c ki\u1ec3m tra \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o r\u1eb1ng kh\u00f4ng c\u00f3 v\u1eadt l\u1ea1, v\u1ebft x\u01b0\u1edbc, v\u1ebft b\u1ea9n ho\u1eb7c b\u1ee5i tr\u00ean \u1ed1ng k\u00ednh.<\/p>\n

C\u00e1c khuy\u1ebft t\u1eadt kh\u00e1c nhau r\u1ea5t kh\u00e1c nhau v\u1ec1 b\u1ec1 ngo\u00e0i. V\u1ebft nh\u00f2e do d\u1ea5u v\u00e2n tay tr\u00f4ng kh\u00e1 kh\u00e1c so v\u1edbi c\u00e1c h\u1ea1t b\u1ee5i b\u1ecb m\u1eafc k\u1eb9t d\u01b0\u1edbi l\u1edbp ph\u1ee7 th\u1ea5u k\u00ednh v\u00e0 c\u0169ng kh\u00f4ng gi\u1ed1ng v\u1ebft x\u01b0\u1edbc tr\u00ean b\u1ec1 m\u1eb7t k\u00ednh. Ngo\u00e0i ra, b\u1ec1 m\u1eb7t ph\u1ea3n chi\u1ebfu c\u1ee7a th\u1ea5u k\u00ednh v\u00e0 h\u00ecnh \u1ea3nh kh\u00fac x\u1ea1 t\u1eeb c\u00e1c b\u1ed9 ph\u1eadn b\u00ean d\u01b0\u1edbi th\u1ea5u k\u00ednh c\u00f3 th\u1ec3 xu\u1ea5t hi\u1ec7n nh\u01b0 nh\u1eefng d\u1ecb th\u01b0\u1eddng kh\u00f4ng mong mu\u1ed1n m\u1eb7c d\u00f9 th\u1ef1c t\u1ebf kh\u00f4ng ph\u1ea3i v\u1eady. Vi\u1ec7c ph\u00e2n bi\u1ec7t c\u00e1c d\u1ecb th\u01b0\u1eddng n\u1ec1n n\u00e0y v\u1edbi c\u00e1c khuy\u1ebft t\u1eadt th\u1ef1c s\u1ef1 th\u01b0\u1eddng y\u00eau c\u1ea7u ki\u1ec3m tra th\u1ee7 c\u00f4ng, qu\u00e1 tr\u00ecnh n\u00e0y ch\u1eadm, t\u1ed1n k\u00e9m v\u00e0 kh\u00f4ng nh\u1ea5t qu\u00e1n. Tuy nhi\u00ean, c\u00e1c h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y d\u1ef1a tr\u00ean quy t\u1eafc truy\u1ec1n th\u1ed1ng kh\u00f4ng th\u1ec3 d\u1ec5 d\u00e0ng \u0111\u01b0\u1ee3c l\u1eadp tr\u00ecnh \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh m\u1ed9t c\u00e1ch nh\u1ea5t qu\u00e1n nhi\u1ec1u khuy\u1ebft t\u1eadt nh\u01b0 v\u1eady.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

C\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt c\u1ee7a Cognex Deep Learning \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean nhi\u1ec1u l\u1ef1a ch\u1ecdn th\u1ea5u k\u00ednh kh\u00f4ng c\u00f3 khuy\u1ebft t\u1eadt \u0111\u1ec3 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng. \u1ede ch\u1ebf \u0111\u1ed9 Kh\u00f4ng gi\u00e1m s\u00e1t, n\u00f3 s\u1ebd qu\u00e9t qua m\u1ed9t chu\u1ed7i c\u00e1c th\u1ea5u k\u00ednh v\u00e0 g\u1eafn c\u1edd cho b\u1ea5t k\u1ef3 th\u1ea5u k\u00ednh n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c, \u0111\u1ed3ng th\u1eddi gi\u1ea3m thi\u1ec3u d\u01b0\u01a1ng t\u00ednh gi\u1ea3.<\/p>\n

C\u00e1c khuy\u1ebft t\u1eadt c\u1ee7a th\u1ea5u k\u00ednh c\u00f3 xu h\u01b0\u1edbng c\u00f3 m\u1ed9t s\u1ed1 \u0111\u1eb7c \u0111i\u1ec3m b\u1eaft ngu\u1ed3n t\u1eeb c\u00e1c nguy\u00ean nh\u00e2n c\u1ee5 th\u1ec3, ch\u1eb3ng h\u1ea1n nh\u01b0 b\u1ecb nhi\u1ec5m b\u1ea9n b\u1edfi b\u1ee5i v\u00e0 c\u00e1c h\u1ea1t kh\u00e1c, v\u1ebft b\u1ea9n do d\u1ea7u ho\u1eb7c d\u1ea5u v\u00e2n tay, v\u00e0 c\u00e1c b\u1ed9 ph\u1eadn b\u00ean trong b\u1ecb l\u1ec7ch. Ng\u01b0\u1eddi d\u00f9ng c\u1ea7n x\u00e1c \u0111\u1ecbnh lo\u1ea1i khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3 ho\u1eb7c \u0111o l\u01b0\u1eddng ch\u00ednh x\u00e1c k\u00edch th\u01b0\u1edbc c\u1ee7a khuy\u1ebft t\u1eadt, c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng ch\u1ebf \u0111\u1ed9 gi\u00e1m s\u00e1t. Trong ch\u1ebf \u0111\u1ed9 n\u00e0y, ng\u01b0\u1eddi d\u00f9ng \u0111\u00e0o t\u1ea1o h\u1ec7 th\u1ed1ng v\u1ec1 s\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn t\u1ed1t v\u00e0 x\u1ea5u, l\u00e0m n\u1ed5i b\u1eadt r\u00f5 r\u00e0ng c\u00e1c v\u00f9ng khuy\u1ebft t\u1eadt v\u00e0 g\u1eafn nh\u00e3n ch\u00fang v\u1edbi lo\u1ea1i khuy\u1ebft t\u1eadt: v\u1ebft x\u01b0\u1edbc, v\u1ebft b\u1ea9n, nhi\u1ec5m b\u1ea9n, v.v.<\/p>\n

Ki\u1ebfn th\u1ee9c n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ki\u1ec3m so\u00e1t qu\u00e1 tr\u00ecnh ng\u01b0\u1ee3c d\u00f2ng. M\u1ed9t lo\u1ea1i v\u1ebft x\u01b0\u1edbc nh\u1ea5t \u0111\u1ecbnh c\u00f3 th\u1ec3 do m\u00e1y b\u1ecb l\u1ec7ch ho\u1eb7c s\u1ee3i c\u00f3 th\u1ec3 b\u1ecb l\u1eafng do lu\u1ed3ng kh\u00f4ng kh\u00ed k\u00e9m trong qu\u00e1 tr\u00ecnh s\u1ea3n xu\u1ea5t. B\u1eb1ng c\u00e1ch x\u00e1c \u0111\u1ecbnh nguy\u00ean nh\u00e2n g\u1ed1c r\u1ec5 c\u1ee7a v\u1ea5n \u0111\u1ec1, c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 th\u1ec3 nhanh ch\u00f3ng th\u1ef1c hi\u1ec7n h\u00e0nh \u0111\u1ed9ng kh\u1eafc ph\u1ee5c v\u00e0 gi\u1ea3m thi\u1ec3u vi\u1ec7c t\u1ea1o ra nhi\u1ec1u b\u1ed9 ph\u1eadn x\u1ea5u h\u01a1n.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra d\u1ea5u h\u00e0n tr\u00ean Pin<\/h2>\n
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<\/div>\n<\/div>\n
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V\u1ea4N \u0110\u1ec0<\/strong><\/p>\n

Khi m\u1ed9t t\u1ebf b\u00e0o pin \u0111\u01b0\u1ee3c b\u1ecbt k\u00edn, n\u00f3 s\u1ebd ch\u1ee9a \u0111\u1ea7y ch\u1ea5t \u0111i\u1ec7n ph\u00e2n l\u1ecfng qua m\u1ed9t l\u1ed7 nh\u1ecf tr\u00ean n\u1eafp. Khi l\u1ea5p \u0111\u1ea7y ho\u00e0n t\u1ea5t, l\u1ed7 \u0111\u01b0\u1ee3c bao ph\u1ee7 b\u1edfi m\u1ed9t ch\u1ed1t l\u00e0m k\u00edn ho\u1eb7c n\u1eafp \u0111\u1eady, sau \u0111\u00f3 \u0111\u01b0\u1ee3c h\u00e0n v\u00e0o v\u1ecb tr\u00ed \u0111\u1ec3 c\u1ed1 \u0111\u1ecbnh n\u00f3.<\/p>\n

V\u1ecb tr\u00ed th\u00edch h\u1ee3p c\u1ee7a ch\u1ed1t ni\u00eam phong theo truy\u1ec1n th\u1ed1ng \u0111\u00e3 \u0111\u01b0\u1ee3c x\u00e1c nh\u1eadn b\u1eb1ng c\u00e1ch x\u00e1c \u0111\u1ecbnh chi\u1ec1u cao c\u1ee7a ch\u1ed1t b\u1eb1ng tia laser ho\u1eb7c c\u1ea3m bi\u1ebfn d\u1ecbch chuy\u1ec3n 3D kh\u00e1c. Nh\u01b0ng c\u00e1c khuy\u1ebft t\u1eadt trong b\u1ea3n th\u00e2n m\u1ed1i h\u00e0n, ch\u1eb3ng h\u1ea1n nh\u01b0 v\u1ebft l\u00f5m, v\u1ebft ch\u00e1y, l\u1ed7 kim v\u00e0 v\u1ebft \u0111\u1ee9t, kh\u00f4ng d\u1ec5 d\u00e0ng ph\u00e1t hi\u1ec7n th\u00f4ng qua th\u1ecb gi\u00e1c m\u00e1y truy\u1ec1n th\u1ed1ng do c\u00f3 nhi\u1ec1u khuy\u1ebft t\u1eadt c\u00f3 th\u1ec3 x\u1ea3y ra v\u00e0 n\u1ec1n ph\u1ea3n chi\u1ebfu c\u1ee7a n\u1eafp pin.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Sau khi m\u1ed1i h\u00e0n ho\u00e0n t\u1ea5t, c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt c\u1ee7a Cognex Deep Learning c\u00f3 th\u1ec3 x\u00e1c \u0111\u1ecbnh nhi\u1ec1u khuy\u1ebft t\u1eadt ti\u1ec1m \u1ea9n tr\u00ean m\u1ed1i h\u00e0n ch\u1ed1t ni\u00eam phong. \u1ee8ng d\u1ee5ng deep learning \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean nhi\u1ec1u lo\u1ea1i pin \u0111\u01b0\u1ee3c ni\u00eam phong th\u00edch h\u1ee3p \u0111\u1ec3 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng, bao g\u1ed3m m\u1ee9c \u0111\u1ed9 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c c\u1ee7a c\u00e1c khuy\u1ebft t\u1eadt th\u1ea9m m\u1ef9, \u0111i\u1ec3m s\u00e1ng v\u00e0 b\u00f3ng.<\/p>\n

Khi tr\u00ean d\u00e2y chuy\u1ec1n s\u1ea3n xu\u1ea5t, Cognex Deep Learning s\u1ebd ph\u00e2n t\u00edch v\u00e0 g\u1eafn c\u1edd cho b\u1ea5t k\u1ef3 m\u1ed1i h\u00e0n ch\u1ed1t h\u00e0n n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c, \u0111\u1ed3ng th\u1eddi gi\u1ea3m thi\u1ec3u d\u01b0\u01a1ng t\u00ednh gi\u1ea3 do c\u00e1c khuy\u1ebft t\u1eadt ho\u00e0n to\u00e0n v\u1ec1 th\u1ea9m m\u1ef9.<\/p>\n

Ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 chuy\u1ec3n c\u00e1c khi\u1ebfm khuy\u1ebft \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n sang c\u00f4ng c\u1ee5 ph\u00e2n lo\u1ea1i c\u1ee7a Cognex. C\u00f4ng c\u1ee5 n\u00e0y \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o v\u1ec1 m\u1ed9t lo\u1ea1t c\u00e1c khuy\u1ebft t\u1eadt m\u1ed1i h\u00e0n v\u00e0 v\u1ecb tr\u00ed \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n \u0111\u1ec3 c\u00f3 th\u1ec3 x\u00e1c \u0111\u1ecbnh ch\u00fang \u0111\u00fang c\u00e1ch. Trong th\u1eddi gian ch\u1ea1y, d\u1eef li\u1ec7u ph\u00e2n lo\u1ea1i \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 th\u1ef1c hi\u1ec7n h\u00e0nh \u0111\u1ed9ng s\u1eeda ch\u1eefa ng\u01b0\u1ee3c d\u00f2ng \u0111\u1ed1i v\u1edbi b\u1ea5t k\u1ef3 lo\u1ea1i l\u1ed7i n\u00e0o \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n.T\u00f9y thu\u1ed9c v\u00e0o s\u1edf th\u00edch c\u1ee7a kh\u00e1ch h\u00e0ng, Cognex DSMax, m\u1ed9t c\u1ea3m bi\u1ebfn d\u1ecbch chuy\u1ec3n laser 3D, c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o qu\u00e1 tr\u00ecnh ki\u1ec3m tra m\u00e0 kh\u00f4ng c\u1ea7n b\u1ea5t k\u1ef3 ph\u1ea7n m\u1ec1m c\u1ee7a b\u00ean th\u1ee9 ba n\u00e0o. C\u00f9ng v\u1edbi Cognex Deep Learning v\u00e0 DSMax c\u00f3 th\u1ec3 ki\u1ec3m tra to\u00e0n b\u1ed9 ch\u1ed1t l\u00e0m k\u00edn v\u00e0 m\u1ed1i h\u00e0n c\u1ee7a n\u00f3 \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o n\u00f3 kh\u00f4ng c\u00f3 khuy\u1ebft t\u1eadt v\u00e0 \u0111\u01b0\u1ee3c h\u00e0n v\u00e0 \u0111\u1eb7t ch\u00ednh x\u00e1c.<\/p>\n

Ki\u1ebfn th\u1ee9c n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ki\u1ec3m so\u00e1t qu\u00e1 tr\u00ecnh ng\u01b0\u1ee3c d\u00f2ng. M\u1ed9t lo\u1ea1i v\u1ebft x\u01b0\u1edbc nh\u1ea5t \u0111\u1ecbnh c\u00f3 th\u1ec3 do m\u00e1y b\u1ecb l\u1ec7ch ho\u1eb7c s\u1ee3i c\u00f3 th\u1ec3 b\u1ecb l\u1eafng do lu\u1ed3ng kh\u00f4ng kh\u00ed k\u00e9m trong qu\u00e1 tr\u00ecnh s\u1ea3n xu\u1ea5t. B\u1eb1ng c\u00e1ch x\u00e1c \u0111\u1ecbnh nguy\u00ean nh\u00e2n g\u1ed1c r\u1ec5 c\u1ee7a v\u1ea5n \u0111\u1ec1, c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 th\u1ec3 nhanh ch\u00f3ng th\u1ef1c hi\u1ec7n h\u00e0nh \u0111\u1ed9ng kh\u1eafc ph\u1ee5c v\u00e0 gi\u1ea3m thi\u1ec3u vi\u1ec7c t\u1ea1o ra nhi\u1ec1u b\u1ed9 ph\u1eadn x\u1ea5u h\u01a1n.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra nh\u00e3n c\u1ee7a Pin<\/h2>\n
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<\/div>\n<\/div>\n
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V\u1ea4N \u0110\u1ec0<\/strong><\/p>\n

C\u00e1c \u0111i\u1ec7n c\u1ef1c pin c\u1ee7a t\u00fai k\u1ebft n\u1ed1i v\u1edbi c\u00e1c m\u1ea1ch b\u00ean ngo\u00e0i b\u1eb1ng c\u00e1c m\u1ea5u kim lo\u1ea1i. C\u00e1c m\u1ea5u l\u00e1 kim lo\u1ea1i n\u00e0y \u0111\u01b0\u1ee3c l\u00e0m t\u1eeb nhi\u1ec1u lo\u1ea1i kim lo\u1ea1i, m\u1ecfng v\u00e0 m\u1ec1m, v\u00e0 c\u00f3 th\u1ec3 d\u1ec5 b\u1ecb h\u1ecfng. C\u00e1c khuy\u1ebft t\u1eadt \u0111i\u1ec3n h\u00ecnh bao g\u1ed3m tr\u1ea7y x\u01b0\u1edbc, va \u0111\u1eadp, l\u1ed7 v\u00e0 b\u1ee5i. C\u00e1c tab b\u1ecb h\u1ecfng l\u00e0m gi\u1ea3m ho\u1eb7c ng\u0103n c\u1ea3n k\u1ebft n\u1ed1i, \u0111\u00f3 l\u00e0 l\u00fd do t\u1ea1i sao ch\u00fang ph\u1ea3i kh\u00f4ng c\u00f3 khuy\u1ebft t\u1eadt tr\u01b0\u1edbc khi \u0111\u01b0\u1ee3c h\u00e0n v\u00e0o c\u00e1c \u0111i\u1ec7n c\u1ef1c.<\/p>\n

Tuy nhi\u00ean, vi\u1ec7c h\u00e0n kh\u00f4ng \u0111\u00fang c\u00e1ch c\u0169ng d\u1eabn \u0111\u1ebfn c\u00e1c khuy\u1ebft t\u1eadt nh\u01b0 b\u1ecfng, va \u0111\u1eadp, thi\u1ebfu b\u00f3ng. Ch\u1ea5t h\u00e0n k\u00e9m d\u1eabn \u0111\u1ebfn gi\u1ea3m ho\u1eb7c thi\u1ebfu k\u1ebft n\u1ed1i v\u00e0 gi\u1ea3m hi\u1ec7u su\u1ea5t.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

\u0110\u1ec3 x\u00e1c \u0111\u1ecbnh c\u1ea3 khuy\u1ebft t\u1eadt h\u00e0n tab v\u00e0 tab, c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt c\u1ee7a Cognex Deep Learning \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean nhi\u1ec1u l\u1ef1a ch\u1ecdn c\u00e1c tab kh\u00f4ng b\u1ecb h\u01b0 h\u1ea1i v\u00e0 c\u00e1c tab \u0111\u01b0\u1ee3c h\u00e0n \u0111\u00fang c\u00e1ch \u0111\u1ec3 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng, bao g\u1ed3m c\u1ea3 m\u1ee9c \u0111\u1ed9 khuy\u1ebft t\u1eadt th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c.<\/p>\n

Khi qu\u00e9t qua c\u00e1c k\u1ebft n\u1ed1i tab pin, n\u00f3 s\u1ebd ph\u00e2n t\u00edch v\u00e0 g\u1eafn c\u1edd b\u1ea5t k\u1ef3 tab n\u00e0o ho\u1eb7c m\u1ed1i h\u00e0n tab n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c, \u0111\u1ed3ng th\u1eddi gi\u1ea3m thi\u1ec3u d\u01b0\u01a1ng t\u00ednh gi\u1ea3 do c\u00e1c khuy\u1ebft t\u1eadt ho\u00e0n to\u00e0n v\u1ec1 th\u1ea9m m\u1ef9. N\u00f3 l\u00e0m cho nh\u1eefng kh\u00e1c bi\u1ec7t n\u00e0y m\u1eb7c d\u00f9 c\u00f3 s\u1ef1 kh\u00e1c bi\u1ec7t v\u1ec1 \u0111\u1ed9 t\u01b0\u01a1ng ph\u1ea3n v\u00e0 n\u1ec1n.Sau \u0111\u00f3, c\u00f4ng c\u1ee5 ph\u00e2n lo\u1ea1i c\u1ee7a Cognex Deep Learning c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o m\u1ed9t lo\u1ea1t c\u00e1c khuy\u1ebft t\u1eadt h\u00e0n tab v\u00e0 tab \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n v\u00e0 t\u00ecm hi\u1ec3u c\u00e1ch ph\u00e2n lo\u1ea1i c\u00e1c lo\u1ea1i khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3, ch\u1eb3ng h\u1ea1n nh\u01b0 v\u1ebft x\u01b0\u1edbc, l\u1ed7 v\u00e0 va ch\u1ea1m tr\u00ean tab ho\u1eb7c v\u1ebft ch\u00e1y, va \u0111\u1eadp ho\u1eb7c b\u00f3ng thi\u1ebfu tr\u00ean v\u1eadt h\u00e0n. C\u00e1c khuy\u1ebft t\u1eadt \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i n\u00e0y sau \u0111\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ki\u1ec3m so\u00e1t qu\u00e1 tr\u00ecnh ng\u01b0\u1ee3c d\u00f2ng nh\u1eb1m gi\u1ea3m thi\u1ec3u c\u00e1c khuy\u1ebft t\u1eadt theo th\u1eddi gian.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra n\u00fat c\u1ee7a Pin<\/h2>\n
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<\/div>\n<\/div>\n
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V\u1ea4N \u0110\u1ec0<\/b><\/p>\n

Pin d\u1ea1ng n\u00fat (ho\u1eb7c \u0111\u1ed3ng xu) v\u00e0 pin h\u00ecnh tr\u1ee5 \u0111\u01b0\u1ee3c h\u00e0n k\u00edn b\u1eb1ng c\u00e1ch h\u00e0n n\u1eafp v\u00e0o v\u1ecf ch\u1ee9a \u0111i\u1ec7n c\u1ef1c v\u00e0 ch\u1ea5t \u0111i\u1ec7n ph\u00e2n. Ph\u01b0\u01a1ng ph\u00e1p nhi\u1ec7t th\u1ea5p nh\u01b0 laze ho\u1eb7c h\u00e0n \u0111i\u1ec7n tr\u1edf th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 tr\u00e1nh l\u00e0m h\u1ecfng b\u00ean trong pin nh\u01b0ng y\u00eau c\u1ea7u \u0111\u1ed9 ch\u00ednh x\u00e1c \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o r\u1eb1ng ni\u00eam phong n\u1eafp \u0111\u01b0\u1ee3c gi\u1eef ch\u1eb7t. C\u00f3 r\u1ea5t \u00edt l\u1ee3i nhu\u1eadn cho l\u1ed7i. C\u00e1c khi\u1ebfm khuy\u1ebft c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn r\u00f2 r\u1ec9 ch\u1ea5t \u0111i\u1ec7n ph\u00e2n v\u00e0 gi\u1ea3m hi\u1ec7u su\u1ea5t.<\/p>\n

C\u00e1c khuy\u1ebft t\u1eadt h\u00e0n c\u00f3 th\u1ec3 xu\u1ea5t hi\u1ec7n \u1edf b\u1ea5t c\u1ee9 \u0111\u00e2u xung quanh chu vi v\u00e0 c\u00f3 th\u1ec3 r\u1ea5t kh\u00e1c nhau v\u1ec1 h\u00ecnh th\u1ee9c. C\u00e1c v\u1ebft l\u00f5m, v\u1ebft x\u01b0\u1edbc v\u00e0 c\u00e1c khuy\u1ebft t\u1eadt kh\u00e1c c\u00f3 th\u1ec3 xu\u1ea5t hi\u1ec7n \u1edf b\u1ea5t c\u1ee9 \u0111\u00e2u tr\u00ean c\u01a1 th\u1ec3. C\u1ea3 hai lo\u1ea1i khuy\u1ebft t\u1eadt c\u00f3 th\u1ec3 kh\u00f3 ph\u00e2n bi\u1ec7t \u0111\u1ed1i v\u1edbi b\u1ec1 m\u1eb7t ph\u1ea3n chi\u1ebfu c\u1ee7a t\u1ebf b\u00e0o. T\u1ea5t c\u1ea3 nh\u1eefng \u0111i\u1ec1u n\u00e0y khi\u1ebfn th\u1ecb gi\u00e1c m\u00e1y truy\u1ec1n th\u1ed1ng kh\u00f3 ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c to\u00e0n b\u1ed9 c\u00e1c khuy\u1ebft t\u1eadt.<\/p>\n

V\u00e0 b\u1edfi v\u00ec nh\u1eefng lo\u1ea1i pin n\u00e0y \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t v\u1edbi s\u1ed1 l\u01b0\u1ee3ng l\u1edbn, v\u00e0 c\u00e1c khuy\u1ebft t\u1eadt nh\u1ecf v\u00e0 kh\u00f3 ph\u00e1t hi\u1ec7n, ch\u00fang g\u00e2y ra m\u1ed9t th\u00e1ch th\u1ee9c t\u01b0\u01a1ng t\u1ef1 \u0111\u1ed1i v\u1edbi vi\u1ec7c ki\u1ec3m tra th\u1ee7 c\u00f4ng.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

\u0110\u1ec3 x\u00e1c \u0111\u1ecbnh c\u00e1c khuy\u1ebft t\u1eadt m\u1ed1i h\u00e0n c\u1ee7a pin, c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n khuy\u1ebft t\u1eadt c\u1ee7a Cognex Deep Learning \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o v\u1ec1 nhi\u1ec1u l\u1ef1a ch\u1ecdn pin \u0111\u01b0\u1ee3c ni\u00eam phong th\u00edch h\u1ee3p \u0111\u1ec3 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng, bao g\u1ed3m c\u1ea3 m\u1ee9c \u0111\u1ed9 khuy\u1ebft t\u1eadt th\u1ea9m m\u1ef9 c\u00f3 th\u1ec3 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c. Khi qu\u00e9t qua c\u00e1c n\u1eafp pin, n\u00f3 s\u1ebd ph\u00e2n t\u00edch v\u00e0 g\u1eafn c\u1edd b\u1ea5t k\u1ef3 m\u1ed1i h\u00e0n n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c, \u0111\u1ed3ng th\u1eddi gi\u1ea3m thi\u1ec3u d\u01b0\u01a1ng t\u00ednh gi\u1ea3 do c\u00e1c khuy\u1ebft t\u1eadt ho\u00e0n to\u00e0n v\u1ec1 th\u1ea9m m\u1ef9.T\u00f9y thu\u1ed9c v\u00e0o s\u1edf th\u00edch c\u1ee7a kh\u00e1ch h\u00e0ng, Cognex DSMax, m\u1ed9t c\u1ea3m bi\u1ebfn d\u1ecbch chuy\u1ec3n laser 3D, c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o qu\u00e1 tr\u00ecnh ki\u1ec3m tra m\u00e0 kh\u00f4ng c\u1ea7n b\u1ea5t k\u1ef3 ph\u1ea7n m\u1ec1m c\u1ee7a b\u00ean th\u1ee9 ba n\u00e0o. C\u00f9ng v\u1edbi Cognex Deep Learning v\u00e0 DSMax c\u00f3 th\u1ec3 ki\u1ec3m tra to\u00e0n b\u1ed9 ch\u1ed1t l\u00e0m k\u00edn v\u00e0 m\u1ed1i h\u00e0n c\u1ee7a n\u00f3 \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o n\u00f3 kh\u00f4ng c\u00f3 khuy\u1ebft t\u1eadt v\u00e0 \u0111\u01b0\u1ee3c h\u00e0n v\u00e0 \u0111\u1eb7t ch\u00ednh x\u00e1c.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra d\u1ea5u h\u00e0n<\/h2>\n
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V\u1ea4N \u0110\u1ec0<\/strong><\/p>\n

\u0110\u1ec3 \u0111\u1ea3m b\u1ea3o k\u1ebft n\u1ed1i \u0111i\u1ec7n ch\u1eafc ch\u1eafn, c\u00e1c d\u00e2y d\u1eabn ph\u1ea3i \u0111\u01b0\u1ee3c h\u00e0n t\u1ea1i ch\u1ed7 v\u1edbi nhau ho\u1eb7c v\u1edbi c\u00e1c thi\u1ebft b\u1ecb \u0111\u1ea7u cu\u1ed1i. H\u00e0n li\u00ean quan \u0111\u1ebfn vi\u1ec7c n\u1ea5u ch\u1ea3y hai kim lo\u1ea1i kh\u00e1c nhau v\u1edbi nhau \u0111\u1ec3 t\u1ea1o th\u00e0nh m\u1ed9t k\u1ebft n\u1ed1i ch\u1eafc ch\u1eafn. \u0110i\u1ec1u quan tr\u1ecdng l\u00e0 m\u1ed1i h\u00e0n ph\u1ea3i \u0111\u01b0\u1ee3c n\u1ea5u ch\u1ea3y v\u1eeba \u0111\u1ee7, c\u00f3 th\u1ec3 t\u00edch v\u1eeba \u0111\u1ee7 nh\u01b0ng kh\u00f4ng qu\u00e1 m\u1ee9c, c\u00f3 h\u00ecnh d\u1ea1ng \u0111\u1eb9p v\u00e0 \u0111\u01b0\u1ee3c \u0111\u1ecbnh v\u1ecb th\u00edch h\u1ee3p. C\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 xu h\u01b0\u1edbng c\u00f3 nhi\u1ec1u \u0111\u01b0\u1eddng d\u00e2y cho nhi\u1ec1u lo\u1ea1i b\u1ed9 ph\u1eadn \u0111i\u1ec7n t\u1eed v\u00e0 c\u1ea7n \u0111\u1ea3m b\u1ea3o r\u1eb1ng t\u1ea5t c\u1ea3 c\u00e1c k\u1ebft n\u1ed1i \u0111\u1ec1u an to\u00e0n.<\/p>\n

B\u1edfi v\u00ec c\u00e1c m\u1ed1i h\u00e0n \u0111i\u1ec3m c\u00f3 s\u1ef1 thay \u0111\u1ed5i cao v\u00e0 kh\u00f4ng \u0111\u1ed3ng nh\u1ea5t v\u1ec1 b\u1ec1 ngo\u00e0i, bao g\u1ed3m c\u1ea3 h\u00ecnh d\u1ea1ng, v\u1ecb tr\u00ed, m\u00e0u s\u1eafc, \u0111\u1ed9 ph\u1ea3n x\u1ea1, k\u1ebft c\u1ea5u v\u00e0 d\u1ea5u hi\u1ec7u b\u1ec1 m\u1eb7t, n\u00ean vi\u1ec7c ki\u1ec3m tra c\u00f3 th\u1ec3 c\u00f3 t\u1ef7 l\u1ec7 d\u01b0\u01a1ng t\u00ednh gi\u1ea3 cao, c\u00f2n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 qu\u00e1 m\u1ee9c c\u1ea7n thi\u1ebft. Qu\u00e1 m\u1ee9c c\u1ea7n thi\u1ebft d\u1eabn \u0111\u1ebfn c\u00e1c b\u1ed9 ph\u1eadn t\u1ed1t b\u1ecb lo\u1ea1i b\u1ecf. C\u00e1c m\u1ed1i h\u00e0n t\u1ed1t \u0111\u01b0\u1ee3c \u0111\u00e1nh d\u1ea5u kh\u00f4ng ch\u00ednh x\u00e1c l\u00e0 b\u1ecb l\u1ed7i ph\u1ea3i \u0111i ki\u1ec3m tra th\u1ee7 c\u00f4ng, \u0111i\u1ec1u n\u00e0y c\u1ef1c k\u1ef3 ch\u1eadm so v\u1edbi t\u1ed1c \u0111\u1ed9 \u0111\u01b0\u1eddng truy\u1ec1n, v\u00e0 v\u1eabn th\u01b0\u1eddng d\u1eabn \u0111\u1ebfn c\u00e1c khuy\u1ebft t\u1eadt m\u1ed1i h\u00e0n \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh kh\u00f4ng ch\u00ednh x\u00e1c.<\/p>\n

C\u00e1c b\u1ed9 ph\u1eadn c\u0169ng kh\u00e1c nhau v\u1ec1 k\u00edch th\u01b0\u1edbc, m\u00e0u s\u1eafc v\u00e0 c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m kh\u00e1c t\u1eeb l\u00f4 n\u00e0y sang l\u00f4 kh\u00e1c. Ph\u1ea1m vi bi\u1ebfn th\u1ec3 r\u1ed9ng v\u00e0 kh\u00f3 ph\u00e2n bi\u1ec7t k\u1ebft n\u1ed1i t\u1ed1t v\u1edbi k\u1ebft n\u1ed1i x\u1ea5u khi\u1ebfn t\u1ea7m nh\u00ecn m\u00e1y d\u1ef1a tr\u00ean quy t\u1eafc tr\u1edf n\u00ean kh\u00f4ng th\u1ef1c t\u1ebf.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Ng\u01b0\u1eddi d\u00f9ng \u0111\u00e0o t\u1ea1o c\u00f4ng c\u1ee5 ph\u00e1t hi\u1ec7n l\u1ed7i c\u1ee7a Cognex Deep Learning tr\u00ean nhi\u1ec1u l\u1ef1a ch\u1ecdn v\u1ec1 c\u00e1c k\u1ebft n\u1ed1i \u0111\u01b0\u1ee3c h\u00e0n t\u1ea1i ch\u1ed7 th\u00edch h\u1ee3p \u0111\u1ec3 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng. Khi c\u00f4ng c\u1ee5 qu\u00e9t qua c\u00e1c v\u1ebft h\u00e0n, n\u00f3 s\u1ebd ph\u00e2n t\u00edch v\u00e0 g\u1eafn c\u1edd cho b\u1ea5t k\u1ef3 \u0111i\u1ec3m n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c, \u0111\u1ed3ng th\u1eddi gi\u1ea3m thi\u1ec3u d\u01b0\u01a1ng t\u00ednh gi\u1ea3.Sau \u0111\u00f3, c\u00f4ng c\u1ee5 ph\u00e2n lo\u1ea1i c\u1ee7a Cognex Deep Learning c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o v\u1ec1 m\u1ed9t lo\u1ea1t c\u00e1c khuy\u1ebft t\u1eadt h\u00e0n \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n v\u00e0 h\u1ecdc c\u00e1ch ph\u00e2n lo\u1ea1i c\u00e1c lo\u1ea1i khuy\u1ebft t\u1eadt c\u1ee5 th\u1ec3, ch\u1eb3ng h\u1ea1n nh\u01b0 h\u00ecnh d\u1ea1ng k\u00e9m, l\u1ed7 th\u1ed5i, v\u1ebft n\u1ee9t, v\u1ebft ch\u00e1y ho\u1eb7c nhi\u1ec5m b\u1ea9n b\u1ec1 m\u1eb7t. C\u00e1c khuy\u1ebft t\u1eadt \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i n\u00e0y sau \u0111\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ki\u1ec3m so\u00e1t qu\u00e1 tr\u00ecnh ng\u01b0\u1ee3c d\u00f2ng nh\u1eb1m gi\u1ea3m thi\u1ec3u c\u00e1c khuy\u1ebft t\u1eadt theo th\u1eddi gian.<\/strong><\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n

Deep learning ki\u1ec3m tra MLCC<\/h2>\n
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V\u1ea4N \u0110\u1ec0<\/strong><\/p>\n

T\u1ee5 g\u1ed1m nhi\u1ec1u l\u1edbp (MLCC) bao g\u1ed3m m\u1ed9t kh\u1ed1i c\u00e1c t\u1ee5 \u0111i\u1ec7n x\u1ebfp ch\u1ed3ng l\u00ean nhau v\u1edbi c\u00e1c \u0111\u1ea7u n\u1ed1i \u0111\u01b0\u1ee3c m\u1ea1 kim lo\u1ea1i \u0111\u1ec3 k\u1ebft n\u1ed1i v\u1edbi c\u00e1c b\u1ea3ng m\u1ea1ch t\u00edch h\u1ee3p. C\u00e1c MLCC m\u1eafc ph\u1ea3i nhi\u1ec1u l\u1ed7i s\u1ea3n xu\u1ea5t c\u00f3 th\u1ec3 x\u1ea3y ra, bao g\u1ed3m c\u00e1c v\u1ebft n\u1ee9t, v\u1ebft ph\u1ed3ng r\u1ed9p, v\u1ee5n, nhi\u1ec5m b\u1ea9n v\u00e0 kho\u1ea3ng tr\u1ed1ng trong l\u1edbp ph\u1ee7 k\u1ebft th\u00fac. C\u00e1c t\u1ee5 \u0111i\u1ec7n n\u00e0y l\u01b0u tr\u1eef n\u0103ng l\u01b0\u1ee3ng \u0111\u00e1ng k\u1ec3, do \u0111\u00f3, l\u1ed7i kh\u00f4ng ch\u1ec9 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn MLCC b\u1ecb l\u1ed7i m\u00e0 c\u00f3 th\u1ec3 l\u00e0m h\u1ecfng c\u00e1c th\u00e0nh ph\u1ea7n l\u00e2n c\u1eadn ho\u1eb7c b\u1ea3n th\u00e2n b\u1ea3ng m\u1ea1ch t\u00edch h\u1ee3p.<\/p>\n

MLCCs nh\u1ecf v\u00e0 c\u00f3 s\u1ed1 l\u01b0\u1ee3ng l\u1edbn. Ch\u00fang c\u00f3 th\u1ec3 c\u00f3 nhi\u1ec1u lo\u1ea1i khuy\u1ebft t\u1eadt nh\u1ecf kh\u00e1c nhau v\u1ec1 h\u00ecnh d\u00e1ng v\u00e0 v\u1ecb tr\u00ed. Ngo\u00e0i ra, ch\u00fang c\u00f3 b\u1ec1 m\u1eb7t s\u00e1ng b\u00f3ng h\u1ea1n ch\u1ebf hi\u1ec7u qu\u1ea3 c\u1ee7a th\u1ecb gi\u00e1c m\u00e1y truy\u1ec1n th\u1ed1ng.<\/p>\n

Do \u0111\u00f3, vi\u1ec7c ki\u1ec3m tra th\u1ee7 c\u00f4ng v\u1eabn \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng. M\u00e1y ki\u1ec3m tra quang h\u1ecdc t\u1ef1 \u0111\u1ed9ng (AOI) ki\u1ec3m tra t\u1ea5t c\u1ea3 s\u00e1u m\u1eb7t c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c t\u1ee5 \u0111i\u1ec7n, sau \u0111\u00f3 con ng\u01b0\u1eddi ki\u1ec3m tra m\u1ed9t m\u1eb7t c\u1ee7a m\u1eabu th\u1ed1ng k\u00ea c\u1ee7a c\u00e1c t\u1ee5 \u0111i\u1ec7n. Nh\u01b0ng c\u00e1c m\u00e1y AOI c\u00f3 t\u1ef7 l\u1ec7 qu\u00e1 m\u1ee9c c\u1ea7n thi\u1ebft cao, trong khi vi\u1ec7c ki\u1ec3m tra b\u1eb1ng tay qu\u00e1 ch\u1eadm \u0111\u1ed1i v\u1edbi m\u1ee5c \u0111\u00edch s\u1eed d\u1ee5ng chung. Qu\u00e1 tr\u00ecnh t\u1ed5ng th\u1ec3 l\u00e0 t\u1ed1n k\u00e9m, ch\u1eadm, d\u1ec5 x\u1ea3y ra l\u1ed7i v\u00e0 kh\u00f4ng t\u1ea1o ra d\u1eef li\u1ec7u h\u1eefu \u00edch c\u00f3 th\u1ec3 gi\u00fap c\u1ea3i ti\u1ebfn quy tr\u00ecnh.<\/p>\n

GI\u1ea2I PH\u00c1P<\/strong><\/p>\n

Cognex \u0111\u00e3 ch\u1ebf t\u1ea1o m\u1ed9t m\u00e1y ki\u1ec3m tra quang h\u1ecdc th\u1ea9m m\u1ef9 (COI) \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 ki\u1ec3m tra MLCC, k\u1ebft h\u1ee3p c\u1ea3 \u00e1nh s\u00e1ng t\u00f9y ch\u1ec9nh v\u00e0 c\u00e1c c\u00f4ng c\u1ee5 th\u1ecb gi\u00e1c deep learning. \u0110\u1ea7u ti\u00ean, m\u00f4-\u0111un chi\u1ebfu s\u00e1ng \u0111\u01b0\u1ee3c t\u00f9y ch\u1ec9nh \u0111\u1ec3 ki\u1ec3m tra MLCC gi\u1ea3m thi\u1ec3u c\u00e1c bi\u1ebfn th\u1ec3 b\u1ec1 m\u1eb7t kh\u00f4ng li\u00ean quan trong khi v\u1eabn \u0111\u1ec3 l\u1ed9 c\u00e1c khuy\u1ebft t\u1eadt d\u1ec5 b\u1ecb b\u1ecf s\u00f3t tr\u00ean c\u1ea3 th\u00e2n t\u1ee5 \u0111i\u1ec7n v\u00e0 c\u00e1c \u0111\u1ea7u n\u1ed1i.<\/p>\n

Sau khi c\u00e1c MLCC \u0111\u00e3 \u0111\u01b0\u1ee3c ki\u1ec3m tra b\u1eb1ng m\u00e1y AOI, ch\u00fang s\u1ebd \u0111\u01b0\u1ee3c ki\u1ec3m tra b\u1eb1ng m\u00e1y COI \u0111\u1ec3 gi\u1ea3m l\u01b0\u1ee3ng d\u01b0\u01a1ng t\u00ednh gi\u1ea3 v\u00e0 c\u00e1c b\u1ed9 ph\u1eadn t\u1ed1t b\u1ecb k\u00e9o ra kh\u1ecfi qu\u00e1 tr\u00ecnh s\u1ea3n xu\u1ea5t. M\u00e1y n\u00e0y mang l\u1ea1i t\u1ed1c \u0111\u1ed9, \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 d\u1eef li\u1ec7u c\u1ea3i ti\u1ebfn quy tr\u00ecnh t\u1ed1t h\u01a1n khi so s\u00e1nh v\u1edbi vi\u1ec7c ki\u1ec3m tra th\u1ee7 c\u00f4ng.<\/p>\n

C\u00f4ng c\u1ee5 ph\u00e2n lo\u1ea1i c\u1ee7a Cognex Deep Learning \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o d\u1ef1a tr\u00ean c\u00e1c h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n c\u1ee7a nhi\u1ec1u lo\u1ea1i MLCC kh\u00f4ng c\u00f3 khi\u1ebfm khuy\u1ebft v\u00e0 kh\u00f4ng c\u00f3 khi\u1ebfm khuy\u1ebft. C\u00f4ng c\u1ee5 ph\u00e2n lo\u1ea1i h\u1ecdc c\u00e1ch ph\u00e2n lo\u1ea1i nhi\u1ec1u lo\u1ea1i khuy\u1ebft t\u1eadt c\u00f3 th\u1ec3 c\u00f3, c\u0169ng nh\u01b0 t\u00ecm hi\u1ec3u s\u1ef1 bi\u1ebfn \u0111\u1ed5i \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a c\u00e1c b\u1ed9 ph\u1eadn b\u00ecnh th\u01b0\u1eddng. Sau khi \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n, n\u00f3 c\u00f3 th\u1ec3 qu\u00e9t qua m\u1ecdi b\u1ed9 ph\u1eadn MLCC v\u00e0 ngay l\u1eadp t\u1ee9c g\u1eafn c\u1edd b\u1ea5t k\u1ef3 b\u1ed9 ph\u1eadn n\u00e0o n\u1eb1m ngo\u00e0i ph\u1ea1m vi ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c ho\u1eb7c x\u00e1c \u0111\u1ecbnh c\u00e1c b\u1ed9 ph\u1eadn t\u1ed1t tr\u01b0\u1edbc \u0111\u00f3 \u0111\u00e3 \u0111\u01b0\u1ee3c g\u1eafn c\u1edd l\u00e0 khuy\u1ebft t\u1eadt.<\/p>\n

C\u00e1c khuy\u1ebft t\u1eadt \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i c\u0169ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ki\u1ec3m so\u00e1t qu\u00e1 tr\u00ecnh ng\u01b0\u1ee3c d\u00f2ng nh\u1eb1m gi\u1ea3m thi\u1ec3u c\u00e1c khuy\u1ebft t\u1eadt c\u1ee7a b\u1ed9 ph\u1eadn theo th\u1eddi gian.<\/p>\n<\/div>\n<\/div>\n

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\"DEEP<\/div>\n<\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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C\u00c1C GI\u1ea2I PH\u00c1P DEEP LEARNING<\/h2>\n
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<\/div>\n<\/div>\n
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Cognex Deep Learning l\u00e0 b\u1ed9 gi\u1ea3i ph\u00e1p t\u1ea7m nh\u00ecn d\u1ef1a tr\u00ean c\u00f4ng ngh\u1ec7 deep learning \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1eb7c bi\u1ec7t cho t\u1ef1 \u0111\u1ed9ng h\u00f3a nh\u00e0 m\u00e1y. C\u00f4ng ngh\u1ec7 \u0111\u00e3 \u0111\u01b0\u1ee3c ki\u1ec3m nghi\u1ec7m, t\u1ed1i \u01b0u h\u00f3a v\u00e0 \u0111\u00e3 \u0111\u01b0\u1ee3c ch\u1ee9ng minh t\u1ea1i hi\u1ec7n tr\u01b0\u1eddng d\u1ef1a tr\u00ean c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y hi\u1ec7n \u0111\u1ea1i.<\/p>\n

Thay v\u00ec tu\u00e2n theo c\u00e1ch ti\u1ebfp c\u1eadn d\u1ef1a tr\u00ean quy t\u1eafc \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c th\u00e1ch th\u1ee9c ki\u1ec3m tra, gi\u1ed1ng nh\u01b0 c\u00e1c \u1ee9ng d\u1ee5ng th\u1ecb gi\u00e1c m\u00e1y truy\u1ec1n th\u1ed1ng, c\u00e1c gi\u1ea3i ph\u00e1p deep learning c\u1ee7a Cognex h\u1ecdc c\u00e1ch ph\u00e1t hi\u1ec7n c\u00e1c m\u1eabu v\u00e0 \u0111i\u1ec3m b\u1ea5t th\u01b0\u1eddng t\u1eeb c\u00e1c v\u00ed d\u1ee5 h\u00ecnh \u1ea3nh tham chi\u1ebfu. Deep learning t\u1ef1 \u0111\u1ed9ng h\u00f3a v\u00e0 m\u1edf r\u1ed9ng quy m\u00f4 c\u00e1c \u1ee9ng d\u1ee5ng ki\u1ec3m tra ph\u1ee9c t\u1ea1p m\u00e0 cho \u0111\u1ebfn nay v\u1eabn y\u00eau c\u1ea7u ng\u01b0\u1eddi ki\u1ec3m tra nh\u01b0 ph\u00e1t hi\u1ec7n l\u1ed7i v\u00e0 x\u00e1c minh l\u1eafp r\u00e1p cu\u1ed1i c\u00f9ng.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

T\u1ef1 \u0111\u1ed9ng h\u00f3a quy tr\u00ecnh s\u1ea3n xu\u1ea5t v\u00e0 n\u00e2ng cao ch\u1ea5t l\u01b0\u1ee3ng l\u00e0 hai trong s\u1ed1 nh\u1eefng nhu c\u1ea7u l\u1edbn nh\u1ea5t c\u1ee7a ng\u00e0nh c\u00f4ng nghi\u1ec7p \u0111i\u1ec7n t\u1eed. Tuy nhi\u00ean, m\u1ed9t s\u1ed1 \u1ee9ng d\u1ee5ng qu\u00e1 ph\u1ee9c t\u1ea1p, t\u1ed1n th\u1eddi gian v\u00e0 t\u1ed1n k\u00e9m \u0111\u1ec3 l\u1eadp tr\u00ecnh th\u00e0nh m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean quy t\u1eafc. S\u1eed d\u1ee5ng […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[163],"tags":[],"acf":[],"yoast_head":"\nGI\u1ea2I PH\u00c1P DEEP LEARNING TRONG NG\u00c0NH C\u00d4NG NGHI\u1ec6P \u0110I\u1ec6N T\u1eec - IPE VN<\/title>\n<meta name=\"description\" content=\"Cognex Deep Learning l\u00e0 ph\u1ea7n m\u1ec1m vision deep learning \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c \u1ee9ng d\u1ee5ng \u0111i\u1ec7n t\u1eed \u0111\u1ea7y kh\u00f3 kh\u0103n, \u0111\u00f2i h\u1ecfi v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn ki\u1ec3m tra m\u1ef9 ph\u1ea9m, ph\u00e2n lo\u1ea1i v\u00e0 nh\u1eadn d\u1ea1ng k\u00fd t\u1ef1. Cognex Deep Learning cung c\u1ea5p kh\u1ea3 n\u0103ng ki\u1ec3m tra gi\u1ed1ng nh\u01b0 con ng\u01b0\u1eddi v\u1edbi t\u1ed1c \u0111\u1ed9 v\u00e0 s\u1ef1 m\u1ea1nh m\u1ebd c\u1ee7a m\u1ed9t h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh, trong m\u1ed9t \u0111\u01a1n v\u1ecb c\u00f3 th\u1ec3 b\u1ea3o tr\u00ec t\u1ea1i hi\u1ec7n tr\u01b0\u1eddng gi\u00fap d\u1ec5 d\u00e0ng \u0111\u00e0o t\u1ea1o c\u00e1c b\u1ed9 ph\u1eadn m\u1edbi v\u00e0 c\u00e1c lo\u1ea1i l\u1ed7i trong hi\u1ec7n tr\u01b0\u1eddng.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ipe.com.vn\/?p=8205\" \/>\n<meta property=\"og:locale\" content=\"vi_VN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GI\u1ea2I PH\u00c1P DEEP LEARNING TRONG NG\u00c0NH C\u00d4NG NGHI\u1ec6P \u0110I\u1ec6N T\u1eec - IPE VN\" \/>\n<meta property=\"og:description\" content=\"Cognex Deep Learning l\u00e0 ph\u1ea7n m\u1ec1m vision deep learning \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c \u1ee9ng d\u1ee5ng \u0111i\u1ec7n t\u1eed \u0111\u1ea7y kh\u00f3 kh\u0103n, \u0111\u00f2i h\u1ecfi v\u1ecb tr\u00ed b\u1ed9 ph\u1eadn ki\u1ec3m tra m\u1ef9 ph\u1ea9m, ph\u00e2n lo\u1ea1i v\u00e0 nh\u1eadn d\u1ea1ng k\u00fd t\u1ef1. 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