Technology Education : Automatic Drawing Conformity Inspection System Using Image Features Matching and Bilinear Interpolation
Bok-Deuk Song, Seung‐Hee Lee, Maeng-Geum Jeong, Hye-Jin Kim, Bum-Joo Shin, Wan-Jik Lee, Hwang-Kyu Yang, Myung Ho Kim · Journal of the Korean Institute of Electrical and Electronic Material Engineers · 2012
To evaluate whether or not their product is in conformity with its drawing, today`s factories manufacturing rubber and/or plastic products use manual process. In manual conformity inspection process, a person decides conformity as comparing drawing to image of product with his eyes. The manual process is tedious and time-consuming in addition that it is impossible to automatically record various informations related to inspection. To solve such problems, this paper proposes automatic drawing conformity inspection system based on computer vision technologies such as image feature matching and bilinear interpolation. The test results show that proposed system is a lot faster when comparing with manual system.