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Intelligent Recognition of Production Date Based on Machine Vision
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| Zeitschriftentitel: | Journal of Physics: Conference Series |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | Journal of Physics: Conference Series, 1267, 2019, 1, S. 012041 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
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| Schlagwörter: |
| author_facet |
Sun, Xiaona Gao, Guohua Tian, Boxing Li, Bowen Zhang, Sai Huang, Juan Sun, Xiaona Gao, Guohua Tian, Boxing Li, Bowen Zhang, Sai Huang, Juan |
|---|---|
| author |
Sun, Xiaona Gao, Guohua Tian, Boxing Li, Bowen Zhang, Sai Huang, Juan |
| spellingShingle |
Sun, Xiaona Gao, Guohua Tian, Boxing Li, Bowen Zhang, Sai Huang, Juan Journal of Physics: Conference Series Intelligent Recognition of Production Date Based on Machine Vision General Physics and Astronomy |
| author_sort |
sun, xiaona |
| spelling |
Sun, Xiaona Gao, Guohua Tian, Boxing Li, Bowen Zhang, Sai Huang, Juan 1742-6588 1742-6596 IOP Publishing General Physics and Astronomy http://dx.doi.org/10.1088/1742-6596/1267/1/012041 <jats:title>Abstract</jats:title> <jats:p>Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.</jats:p> Intelligent Recognition of Production Date Based on Machine Vision Journal of Physics: Conference Series |
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Journal of Physics: Conference Series |
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| title |
Intelligent Recognition of Production Date Based on Machine Vision |
| title_unstemmed |
Intelligent Recognition of Production Date Based on Machine Vision |
| title_full |
Intelligent Recognition of Production Date Based on Machine Vision |
| title_fullStr |
Intelligent Recognition of Production Date Based on Machine Vision |
| title_full_unstemmed |
Intelligent Recognition of Production Date Based on Machine Vision |
| title_short |
Intelligent Recognition of Production Date Based on Machine Vision |
| title_sort |
intelligent recognition of production date based on machine vision |
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General Physics and Astronomy |
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http://dx.doi.org/10.1088/1742-6596/1267/1/012041 |
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2019 |
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012041 |
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<jats:title>Abstract</jats:title>
<jats:p>Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.</jats:p> |
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| author | Sun, Xiaona, Gao, Guohua, Tian, Boxing, Li, Bowen, Zhang, Sai, Huang, Juan |
| author_facet | Sun, Xiaona, Gao, Guohua, Tian, Boxing, Li, Bowen, Zhang, Sai, Huang, Juan, Sun, Xiaona, Gao, Guohua, Tian, Boxing, Li, Bowen, Zhang, Sai, Huang, Juan |
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| description | <jats:title>Abstract</jats:title> <jats:p>Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.</jats:p> |
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| imprint_str_mv | IOP Publishing, 2019 |
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| series | Journal of Physics: Conference Series |
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| spelling | Sun, Xiaona Gao, Guohua Tian, Boxing Li, Bowen Zhang, Sai Huang, Juan 1742-6588 1742-6596 IOP Publishing General Physics and Astronomy http://dx.doi.org/10.1088/1742-6596/1267/1/012041 <jats:title>Abstract</jats:title> <jats:p>Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.</jats:p> Intelligent Recognition of Production Date Based on Machine Vision Journal of Physics: Conference Series |
| spellingShingle | Sun, Xiaona, Gao, Guohua, Tian, Boxing, Li, Bowen, Zhang, Sai, Huang, Juan, Journal of Physics: Conference Series, Intelligent Recognition of Production Date Based on Machine Vision, General Physics and Astronomy |
| title | Intelligent Recognition of Production Date Based on Machine Vision |
| title_full | Intelligent Recognition of Production Date Based on Machine Vision |
| title_fullStr | Intelligent Recognition of Production Date Based on Machine Vision |
| title_full_unstemmed | Intelligent Recognition of Production Date Based on Machine Vision |
| title_short | Intelligent Recognition of Production Date Based on Machine Vision |
| title_sort | intelligent recognition of production date based on machine vision |
| title_unstemmed | Intelligent Recognition of Production Date Based on Machine Vision |
| topic | General Physics and Astronomy |
| url | http://dx.doi.org/10.1088/1742-6596/1267/1/012041 |