A Visual Inspection System for Workpiece Appearance Defects Based on Image Processing

Abstract

The invention discloses a visual inspection system for workpiece appearance defects based on image processing, which includes an industrial computer, a coaxial light source, a CCD industrial camera, an image acquisition card and a rejection mechanism; the coaxial light source and the rejection mechanism are both connected to the industrial computer; the CCD The industrial camera is connected to the industrial computer through an image acquisition card; among them: the coaxial light source is used to provide diffuse reflection light source for the workpiece to be inspected; the CCD industrial camera is used to take images of the workpiece at the inspection station; the rejection mechanism is used to remove the workpiece from the production line Workpieces with defects through inspection are eliminated; the industrial computer has a defect detection module based on image processing; the system has high detection efficiency and is easy to implement.

Description

technical field [0001] The invention belongs to the field of automatic detection, in particular to a visual detection system for workpiece appearance defects based on image processing. Background technique [0002] The main production process of metal workpieces is machining, stamping, precision casting, powder metallurgy, metal injection molding, dimensional inspection, appearance defect inspection, etc. Affected by the manufacturing process throughout the production process, the size and appearance of the workpiece will be unqualified to a certain extent. Among them, appearance defects mainly include: gaps, sticky materials, cracks, indentations, pinholes, scratches and blisters, etc. If workpieces with appearance quality defects flow into the next production process, the assembly will be blocked and deformed, which will affect the quality of the assembled parts. potential economic losses and reputational risks. [0003] Traditional appearance defect inspection methods ...

AI Technical Summary

Problems solved by technology

[0005] At present, the main methods of visual detection of workpiece appearance defects: (1) The automatic detection of metal workpiece surface defects is realized through genetic algorithm and visual image processing morphology. The bubble defect detection effect is poor; (2) the existence of product defects is judged by using the image grayscale feature and the abnormal change of the grayscale value, but due to the strong reflective characteristics of the metal surface, the system has a high false detection rate

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