Machine vision-based battery tab detection method and detection system thereof

A battery tab and machine vision technology, applied in the direction of optical testing defects/defects, can solve the problems of single-layer battery tabs, high missed detection rate, low efficiency, etc., to save human capital, fast measurement speed, and measurement accuracy high effect
CN103487440AActive Publication Date: 2014-01-01东莞市三瑞自动化科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
东莞市三瑞自动化科技有限公司
Publication Date
2014-01-01

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Abstract

The invention discloses a machine vision-based battery tab detection method. The machine vision-based battery tab detection method comprises the following steps: (1) arranging three sets of image pick-up devices; (2) arranging three sets of light source control devices and light sources; (3) arranging a baseband device; (4) arranging a deformation auxiliary device; (5) arranging a display device; (6) arranging an alarm device; (7) arranging an intelligent detection device; (8) putting a battery tab in place, turning on the power sources, keeping the devices in a working state, transmitting a control command by the intelligent detection device to the light source control devices to adjust the light sources, then transmitting the control command to the image pick-up devices, collecting perspective images of a side face, a front face and a reverse face of the battery tab, analyzing and processing each frame of received perspective image of the battery tab by the intelligent detection device to intelligently detect whether the battery tab is qualified. The invention also discloses a detection system using the detection method.
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Description

technical field

[0001] The invention belongs to the technical field of non-destructive testing, and particularly relates to a method for detecting battery tabs based on machine vision, and a detection system implementing the method. Background technique

[0002] At present, in the battery tab processing industry, there are quality defects such as single layer of the battery tab, out of tolerance, bubbles and poor welding. The traditional manual detection method has the shortcomings of slow speed, low efficiency, false detection and high missed detection rate, which cannot meet the production needs. SUMMARY OF THE INVENTION

[0003] In view of the deficiencies of the prior art, the present invention provides a machine vision-based battery tab detection method to solve the above problems, and a detection system implementing the method.

[0004] The technical scheme that the present invention adopts for realizing the above-mentioned purpose is:

[0005] A method for detecti...

Claims

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