設計工学・システム部門講演会講演論文集
Online ISSN : 2424-3078
セッションID: 3103
会議情報
3103 ニューラルネットワークによる閾値設定を用いた気泡検出(OS13 ヒューマンインタフェース・ユーザビリティI)
伊藤 照明大島 康平
著者情報
会議録・要旨集 フリー

詳細
抄録
Product quality is one of the critical issues in food production lines. The contaminations such as metallic or plastic, organic materials are eliminated by machine inspections. However, human inspectors usually take care of the final evaluation. Even though there is no contamination in the products, appearance of products may decrease the quality of the products. For example, even though air bubble has nothing to do with the taste of Tofu, customers do not purchase such Tofu which contains many air bubbles. Therefore, human inspectors review the Tofu package to check the defective products because of the air bubble, which is hard to be processed by machine inspection. This paper presents an image processing-based air bubble detection method to determine the quality of Tofu products, using some evaluation criterion based on experiments, and discusses the feasibility of this method in comparison with the human inspection results.
著者関連情報
© 2011 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top