Integrity Detection of Automatic Assembly for Lamp Parts Based on Color and Shape Feature

Abstract:

In industrial production, the machine vision save a lot of manpower and material resources. And it has become an indispensable part of quality control solutions in automobile and parts manufacturing. In order to detect the integrity of automatic assembly for lamp parts, we first use the shape feature to determine whether the part shape is right through egde detection and template matching algorithms. And if the shape is right, we can further detect the color feature which are different in different sales regions using the color moments. As a result, the missing and mistake packing can be detected.

• Periodical: Advanced Materials Research (Volumes 1030-1032)
• Pages: 1721-1725
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.1721
• Online since: September 2014
• Authors: Pei Pei Wu*, Ping An Mu, Shu Guang Dai
• Keywords: Edge Detection, Integrity Detection, Machine Vision, Template Matching

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