Most manufacturers intend to convert visual inspection to discriminate automatically between proper products and improper products containing some extraneous materials, because visual inspection is somewhat time consuming.
This paper proposes a method to judge automatically if a product contains undesirable materials. Firstly, a CCD camera obtains pictures of the product laid on a platform under an LED array. Secondly, the pictures are processed to purge shades and noises for higher discrimination. Lastly, wheather it contains extraneous materials or not is easily judged comparing with a certain threshold value. In case that threshold-base discremination is difficult, more pictures are taken under different lightning conditions and the system judges again.
雑誌名
宮崎大學工學部紀要
巻
41
ページ
343 - 348
発行年
2012-07-30
出版者
宮崎大学工学部
Faculty of Engineering, University of Miyazaki
リポジトリのご案内
プラスチック部品の不良品判別の自動化法
engineering41_343-348.pdf
(1.19MB)
