Research and Implementation of Defect Detection Algorithm for Chip Shell Based on VisionPro
Authors: 
Li Yang, HaiLong LiuAuthors Info & Claims
Article No.: 87, Pages 1 - 5
Abstract
The dual-ball patch infrared receiver is a new type of infrared sensor chip. The front shell of the chip needs to be detected during the production process to achieve the purpose of eliminating defective products. This paper is based on VisionPro processing software to realize the defect detection of the chip. First, the front image of the chip taken by the industrial camera is quantized, filtered, and closed; then the PMAlign tool is used to extract the overall characteristics of the shell to determine whether the shell is missing; The FindCircle tool is used to find the left and right circles on the surface, and the FindCorner tool is used to find the left, right, up and down four right angles to judge whether the chip is partially defective or flipped; and finally output the judgment result. Experimental results show that the defect detection algorithm can successfully distinguish qualified products from defective products, and meet the requirements of industrial production.
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Published In
October 2021
477 pages
ISBN:9781450386494
DOI:10.1145/3513142
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 April 2022
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- Research-article
- Research
- Refereed limited
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- Natural Science Foundation of Hunan Province
- Natural Science Foundation of Hunan Province
Conference
ICITEE2021
ICITEE2021: The 4th International Conference on Information Technologies and Electrical Engineering
October 29 - 31, 2021
Changde, Hunan, China
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