Design of a Machine Vision Based Hardware Stamping Parts Recognition and Inspection System

In modern industrial production, metal stamping parts occupy an important position with their efficient production methods and wide application fields. With the continuous advancement of technology and the increasing demand for product quality in the market, the inspection of metal stamping parts has become crucial. In terms of appearance inspection, images of metal stamping parts are captured by industrial cameras to check for defects such as scratches, cracks, rust spots, etc. on the surface. To ensure the mechanical performance of stamped parts, strict testing of metal stamping parts can improve product reliability, reduce usage risks, and meet the quality requirements of different industries for metal stamping parts.

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Publication Details

Published
2025-03-17
DOI
https://doi.org/10.1109/eespe63401.2025.10987095
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Design of a Machine Vision Based Hardware Stamping Parts Recognition and Inspection System

Juexian Mo, Baolei Guo, Yuting Zhu, M. C. Du et al.
Industrial Vision Systems and Defect Detection
article

Design of a Machine Vision Based Hardware Stamping Parts Recognition and Inspection System

Juexian Mo, Baolei Guo, Yuting Zhu, M. C. Du, Caiyi Zhang, Xin Hu, Bingrong Miao, Chaijie Luo, Yong Zhang, Yu Wang, Kejun Zhu, Yucan Chen
article en

Abstract

In modern industrial production, metal stamping parts occupy an important position with their efficient production methods and wide application fields. With the continuous advancement of technology and the increasing demand for product quality in the market, the inspection of metal stamping parts has become crucial. In terms of appearance inspection, images of metal stamping parts are captured by industrial cameras to check for defects such as scratches, cracks, rust spots, etc. on the surface. To ensure the mechanical performance of stamped parts, strict testing of metal stamping parts can improve product reliability, reduce usage risks, and meet the quality requirements of different industries for metal stamping parts.

Guangdong Academy of Sciences (CN), Guangzhou Vocational College of Science and Technology (CN), Guangdong Institute of Intelligent Manufacturing (CN), Southwest Jiaotong University (CN)
Openalex Percentile: Top 86%
Industrial Vision Systems and Defect Detection
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