Title :
Tampoprint inspection by artificial vision
Author :
Truchetet, P. ; Cholley, J.P. ; Hemmings, S.
Author_Institution :
GERE Lab., Bourgogne Univ., Le Creusot, France
Abstract :
In this paper an application of artificial vision to production line quality control is described. This work has lead to the creation of an inspection system for tampoprint impressions on plastic casings. The specificity of the process and the economic constraints of the project specifications drove the originators to develop an all software product which uses standard material only. The originality of the presented solution lies in the optimal exploitation of camera resolution (256×256 pixels). It uses, in particular, an adaptive thresholding algorithm on the difference image resulting from the comparison between a reference image and the tampoprint image, after subpixel alignment by subimages
Keywords :
automatic optical inspection; computer vision; image segmentation; printed circuit manufacture; printed circuit testing; production testing; quality control; adaptive thresholding algorithm; artificial vision; camera resolution; difference image; economic constraints; plastic casings; printed circuits; production line quality control; reference image; subpixel alignment; tampoprint inspection; Application software; Cameras; Ink; Inspection; Pixel; Plastics; Production; Quality control; Software standards; Switches;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
DOI :
10.1109/IECON.1993.339361