Machine-vision-based method and device for intelligently detecting surface micro-defects of product

Abstract

The invention discloses a machine-vision-based method and a machine-vision-based device for intelligently detecting surface micro-defects of a product. The device comprises a first conveying belt, a second conveying belt, a third conveying belt and a conveying belt driving device, wherein the conveying belt driving device is controlled by a PLC (Programmable Logic Control) system; photoelectric sensors are correspondingly arranged on both sides of the three conveying belts; a coaxial light source and a camera A are arranged on the second conveying belt; the camera A is connected with an image acquisition card, an industrial personal computer, a DAQ (Data Acquisition) card and the PLC system; a non-uniform light source composed of a grating and a parallel light source is arranged above the third conveying belt; a camera B is arranged above the side of the third conveying belt and connected with the image acquisition card; a servo motor of the parallel light source is connected with the PLC system; a defective product elimination unit is arranged at the side edge of the tail of the third conveying belt. By the cooperation of two stations, fine defects can be detected efficiently and accurately, and particularly, the effect of detecting the surface defects of mirror-surface-like products through the grating and the non-uniform light source at the second station is excellent.

Description

technical field [0001] The invention relates to machine vision automatic detection, in particular to an intelligent detection method and device for micro-defects on the surface of machine vision products. Background technique [0002] With the development of computer technology and automation technology, machine vision, as an emerging intelligent detection method, has been rapidly applied and promoted in various fields such as industry and agriculture after decades of development. Visual inspection can replace part of the functions of human eyes and brain, and can automatically identify and analyze the processing objects. It is a cutting-edge solution for modern industrial automation and intelligence. Machine vision is applied to product defect detection, which has the advantages of high efficiency, stability, and rapid identification of defects, and can avoid the fatigue of manual detection and the influence of subjective emotional factors. [0003] Due to the uncertain fa...

AI Technical Summary

Problems solved by technology

[0003] Due to the uncertain factors of quality control during product production, various defects often occur on the surface of the product, among which there are effective avoidance methods or detection methods for large defects in production, while the detection of small defects is more difficult to solve

For the detection of subtle defects on the surface of mirror products such as glass, plastic, and metal workpieces, due to the high reflective characteristics of the object, the detection results are often ineffective

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