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
  • MIYAKE Toshihide
    Technical Research Institute, Business Planning & Technology Development Headquarters, Hitachi Zosen Corporation
  • MAEDA Seiichi
    Electronic Control Business Unit, Machinery Headquarters, Hitachi Zosen Corporation
  • ENDO Eishin
    Information and Communication Technology Business Promotion Department, Information and Communication Technology Promotion Headquarters, Hitachi Zosen Corporation
  • UMANO Motohide
    Technical Research Institute, Business Planning & Technology Development Headquarters, Hitachi Zosen Corporation

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Other Title
  • 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>

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