Circular ring side wall defect visual detection system

Abstract

The invention belongs to the technical field of visual detection and relates to a circular ring side wall defect visual detection system. A first photographing device and a first strip-shaped light source are arranged above a side portion of a workpiece; an included angle between the light-emitting surface of the first strip-shaped light source and a horizontal plane ranges from 45 degrees to 70 degrees; a contour matching algorithm is executed on the basis of a collected workpiece image so as to perform recognition to obtain a workpiece contour image; a spot analysis algorithm is utilized toperform operation recognition on the workpiece contour image so as to obtain the area numerical value of an abnormal region; and a condition judgment algorithm is utilized to judge the area numericalvalue of the abnormal region, and a judgment result is outputted. According to the circular ring side wall defect visual detection system of the invention, the relevant parameters of the hardware facility and an ingenious arrangement effect are combined; arrangement parameters such as the inclination angle and height of the first strip-shaped light source, and the inclination angle and the heightof a first prime lens which are accumulated for many years are adopted; the optimized spot analysis algorithm is used in combination; and therefore, high-quality image acquisition is effectively achieved, and a high-accuracy defect recognition effect is guaranteed.

Description

technical field [0001] The invention relates to the technical field of visual inspection, in particular to a visual inspection system for ring side wall defects. Background technique [0002] The feature of machine vision inspection is to improve the flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the process of mass industrial production, the efficiency and accuracy of using artificial vision to check product quality is low. , the use of machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, and it is the basic technology to realize computer integrated manufacturing. Visual inspection is to use machines instead of human eyes for measurement and...

AI Technical Summary

Problems solved by technology

[0003] As mentioned above, visual inspection has a huge market value. The core of the visual inspection system is not the hardware equipment but the algorithm steps, and the algorithm steps will vary depending on the requirements of the inspection results, product shape, working environment, and the technology of the designer or group. Factors such as ability vary widely. If the design of the core algorithm steps is lacking, it will affect the operating efficiency and quality of the entire set of visual inspection equipment. However, the algorithm steps and hardware facilities of the visual inspection solutions for the inner wall of the ring on the market are more complicated and expensive. , not conducive to the use of general manufacturers

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