Research on Object Defect Detection of Automated Pipeline Based on Cognex Camera

With the continuous improvement of people's living standards, higher requirements have been put forward for the efficiency of the manufacturing industry, so the application of automated pipeline in enterprises is becoming increasingly widespread. Due to various factors such as environment, labor, and technology that affect the manufacturing process of goods, some products have defects. It is necessary to screen out defective products in automated pipeline. This paper investigates the application of Cognex cameras in object defect detection on automated pipeline. The camera obtains material images under backlight conditions to determine the type, defect, color, and position parameters of the material. By analyzing these parameters, it determines whether the material is a qualified part. The results show that the camera can effectively complete the task of object defect detection.

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Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2024-12-29
DOI
https://doi.org/10.54097/fvp9q425
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.21

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article

Research on Object Defect Detection of Automated Pipeline Based on Cognex Camera

Jufeng Ye, Jie Luo
1 citations
Frontiers in Computing and Intelligent Systems
Advanced Measurement and Detection Methods
0.21
article

Research on Object Defect Detection of Automated Pipeline Based on Cognex Camera

Jufeng Ye, Jie Luo
article en
1 citations

Abstract

With the continuous improvement of people's living standards, higher requirements have been put forward for the efficiency of the manufacturing industry, so the application of automated pipeline in enterprises is becoming increasingly widespread. Due to various factors such as environment, labor, and technology that affect the manufacturing process of goods, some products have defects. It is necessary to screen out defective products in automated pipeline. This paper investigates the application of Cognex cameras in object defect detection on automated pipeline. The camera obtains material images under backlight conditions to determine the type, defect, color, and position parameters of the material. By analyzing these parameters, it determines whether the material is a qualified part. The results show that the camera can effectively complete the task of object defect detection.

Frontiers in Computing and Intelligent SystemsVol. 10(3)
Zhejiang Tongji Vocational College of Science and Technology (CN)
Department of Education of Zhejiang Province
Decent work and economic growth
Openalex Percentile: Top 44%
Advanced Measurement and Detection Methods
0.21
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