An application of object recognition technology by neural network for a food production line management system
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- IOKA Ryota
- Technical Research Institute, Business Planning & Technology Development Headquarters, Hitachi Zosen Corporation
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- MIYAKE Toshihide
- Technical Research Institute, Business Planning & Technology Development Headquarters, Hitachi Zosen Corporation
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- MAEDA Seiichi
- Electronic Control Business Unit, Machinery Headquarters, Hitachi Zosen Corporation
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- ENDO Eishin
- Information and Communication Technology Business Promotion Department, Information and Communication Technology Promotion Headquarters, Hitachi Zosen Corporation
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- UMANO Motohide
- Technical Research Institute, Business Planning & Technology Development Headquarters, Hitachi Zosen Corporation
Bibliographic Information
- Other Title
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- ニューラルネットワークによる物体認識技術の食品生産管理システムへの応用
- ニューラルネットワーク ニ ヨル ブッタイ ニンシキ ギジュツ ノ ショクヒン セイサン カンリ システム エ ノ オウヨウ
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Abstract
<p>In the production line management of a food factory, a video recording device is installed and a human works on confirming the products for the captured image. It takes a lot of efforts because there are a lot of images to check. We, therefore, apply object recognition and detection technology using neural network for a production line management system to decrease the effort needed for the work. The objects are images of packed meat to be sold at stores, and we identify from the image the kind of meat (beef, pork etc.) and the cuts of meat (barbecue, shabu-shabu, mince etc.). For the merchandising label attached on the pack, we detect the area of label and identify the contents written on the label.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 34 (0), 560-564, 2018
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282763084743552
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- NII Article ID
- 130007554809
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 029269183
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed