Real-time aluminum profile surface defect detection system based on machine vision

Abstract

The invention provides a real-time aluminum profile surface defect detection system based on machine vision. The real-time aluminum profile surface defect detection system comprises a communication setting module, a camera setting module, a focusing regulation module, an electric control module, a status display module, an image display module, a data statistic module and a fault detection module. The real-time aluminum profile surface defect detection system provided by the invention realizes the real-time nondestructive detection of aluminum profile surface defects on the basis of a machine vision technology, can be used for enhancing the automation degree, reducing the labor intensity, faster and more accurately positioning the defects and greatly reducing the human input compared with the traditional manual detection and has the advantages of high detection speed, high detection accuracy, simple structure, easiness for maintenance and high practicability.

Description

technical field [0001] The invention relates to the field of surface defect detection, in particular to a machine vision-based real-time detection system for surface defects of aluminum profiles. Background technique [0002] In recent years, with my country's large-scale infrastructure investment and the rapid advancement of industrialization, the output and consumption of the entire aluminum profile industry have grown rapidly, and my country has also become the world's largest aluminum profile production base and consumer market. There are about 300 kinds of alloys and 1,500 varieties of aluminum profiles in China, making it one of the countries with the richest product varieties in the world. Although my country's technology and equipment have entered the international advanced ranks, the technology and equipment of the majority of small and medium-sized enterprises are still at the level of the 1990s, thus forming the current situation that my country's aluminum profile...

AI Technical Summary

Problems solved by technology

The current quality inspection work is all done manually. The inspectors search for defects by observing the surface of aluminum profiles with the naked eye, and manually mark and sort the defective aluminum materials. However, there are many shortcomings in manual inspection, which is easily affected by the experience of inspectors. , emotions, fatigue intensity and other subjective factors, the detection speed is slow and it is difficult to detect small defects

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