The Japanese Journal of the Institute of Industrial Applications Engineers
Online ISSN : 2187-5146
Print ISSN : 2189-373X
ISSN-L : 2187-5146
Paper
Study of Detecting Unexpected Accidents in Images Captured by Visual Inspection System
Hitoshi WakizakoTakahiko Sato
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JOURNAL OPEN ACCESS

2018 Volume 6 Issue 1 Pages 44-50

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Abstract
This paper describes the visual inspection of unexpected accidents in inspection images. Unexpected accident such as time deterioration of LED lights can cause misjudgement in visual inspection system. It leads big material loss, if the system can't detect the accident. So the accidents must be found online. In this paper, we propose image processing method to find unexpected accidents for various visual inspection system.
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© 2018 The Institute of Industrial Applications Engineers
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