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Surface defect detection method of aluminum profiles based on machine vision

A defect detection and machine vision technology, applied in the direction of optical testing flaws/defects, to achieve the effect of maintaining corporate reputation, avoiding interference, and improving accuracy

Inactive Publication Date: 2017-02-08
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] Aiming at many problems in the traditional manual detection of aluminum profile defects, the present invention proposes a machine vision-based aluminum profile surface defect detection method

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  • Surface defect detection method of aluminum profiles based on machine vision
  • Surface defect detection method of aluminum profiles based on machine vision
  • Surface defect detection method of aluminum profiles based on machine vision

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0034] figure 1 It is the overall flow chart of the present invention, including collecting pictures of aluminum profiles, area division of aluminum profiles, surface defect detection and uploading defect information and pictures. The method of the present invention is realized by the VC4018 camera. The camera may receive four kinds of commands from the host computer, including parameter configuration command package, aluminum partition command package, defect detection command package and connection request. Parameters include Sobel parameters, Canny parameters, partition parameters, texture parameters and shutter time. When receiving the parameter setting command packet sent by the host computer, first determine what kind of parameter is to be set, and then perform the corresponding setting work to save the parameter as a system variable; if it is a shutt...

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Abstract

The invention provides an aluminum profile surface defect detecting method based on machine vision. The method comprises the steps of dividing an aluminum profile area, detecting aluminum profile surface defects and uploading defect information and pictures, wherein the divided aluminum profile area comprises a grained area and a non-grained area. The method realizes real-time detection of the aluminum profile surface defects based on machine vision and computer technology, and can be used for positioning the defect part more conveniently, quickly and accurately compared with existing artificial defect detection, so that the detection efficiency is improved, human input is greatly reduced, and the cost of an enterprise in the production process is reduced; and the method can avoid interference of human subjective factors and enterprise reputation can be maintained.

Description

technical field [0001] The invention relates to the field of defect detection, in particular to a method for detecting surface defects of aluminum profiles based on machine vision. Background technique [0002] During the processing of aluminum profiles, various surface defects, such as bubbling, scratches, watermarks, abrasions, stains, etc., are often caused by the production environment or process. To ensure product quality and maintain corporate reputation, the surface quality of aluminum profiles must be tested before they leave the factory for packaging, and profiles with surface defects will be recycled. The current quality inspection work is all done manually. Inspection workers look for defects by observing the surface of aluminum profiles with naked eyes, and manually mark the defective aluminum materials. [0003] Manual inspection is interfered by factors such as workers' experience, emotion, and fatigue intensity, and the quality inspection results will be unst...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88
Inventor 周晓锋张宜弛吴阳史海波
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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