Blanking fracture surface quality detection system based on machine vision and blanking fracture surface quality detection method based on machine vision

Abstract

The invention relates to a blanking fracture surface quality detection system based on machine vision and a blanking fracture surface quality detection method based on machine vision. The detection system comprises an image acquisition device, a lighting source and an image processing system, wherein the lighting source is arranged at the position of a check workpiece capable of lighting; the image acquisition device is arranged at the position of a shoot check workpiece; a signal output end of the image acquisition device is connected with a signal input end of the image processing system. After the blanking fracture surface quality detection system based on machine vision is used, the quality of stamped parts can be improved, and the service life of a mould is prolonged. After the blanking fracture surface quality detection method based on machine vision is used, the blanking fracture surface quality is stably detected, and the production efficiency of a full-automatic stamping production line is improved.

Description

technical field [0001] The invention is a machine vision-based punching section quality inspection system and method, which belongs to the innovative technology of the machine vision-based punching section quality inspection system and method. Background technique [0002] Machine vision is based on image processing theory and is a field of artificial intelligence. It is widely used in various non-destructive testing technologies. With the continuous development of science and technology, the development of machine vision has developed from a single application to an integrated and intelligent one. Because of its fast speed, high precision, good stability and easy automatic processing, it will not cause fatigue like the human eye It is the best choice in high-risk situations and when detecting invisible physics, and is widely used in industry, agriculture, military, transportation, science and medicine and other fields. The application of machine vision presents diversifie...

AI Technical Summary

Problems solved by technology

There are many deficiencies in the traditional method of testing the quality of blanking sections as follows: 1) The test results are affected by subjective factors such as the quality and experience of the testers. Due to the different levels of experience, different testers will have different judgments on the same defect, which will lead to Inaccurate defect types and levels, lack of accuracy and standardization, reduce the reliability of testing; 2) Manual testing is slow and inefficient, making it difficult to meet the full testing requirements of all products in the fully automatic production process

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