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A battery tab detection method and detection system based on machine vision

A battery tab and machine vision technology, applied in the direction of optical testing flaws/defects, can solve the problems of single-layer battery tabs, low efficiency, and high missed detection rate, saving human capital, high measurement accuracy, and fast measurement speed. Effect

Active Publication Date: 2015-11-18
东莞市三瑞自动化科技有限公司
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AI Technical Summary

Problems solved by technology

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

Method used

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  • A battery tab detection method and detection system based on machine vision
  • A battery tab detection method and detection system based on machine vision
  • A battery tab detection method and detection system based on machine vision

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Embodiment Construction

[0052] see Figure 1 to Figure 4 , the present invention provides a battery tab detection method based on machine vision, which includes the following steps:

[0053] (1) Three sets of camera devices 1 are respectively arranged to collect the perspective images of the front, back and side of the battery tab 6 respectively;

[0054] (2) Three sets of light source control devices and three sets of light sources connected to the devices are respectively provided, and the light source control devices are used to adjust the irradiation brightness of the light source so that the light source produces a uniform light-emitting surface;

[0055] (3) A baseband device for stabilizing the battery tab 6 is provided so that the battery tab 6 to be tested remains stable when it is in the detected position;

[0056] (4) A deformation auxiliary device is provided to cause predetermined deformation of the battery tab 6 to be tested;

[0057] (5) A display device is provided to display the cu...

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PUM

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Abstract

The invention discloses a battery tab detection method based on machine vision, which includes the following steps: (1). Set up three sets of camera devices; (2). Set up three sets of light source control devices and light sources; (3). Set up a Baseband device; (4). Set up a deformation auxiliary device; (5). Set up a display device; (6). Set up an alarm device; (7). Set up an intelligent detection device; (8). Place the battery tabs OK, turn on the power, the above device is in working state, the intelligent detection device sends a control command to the light source control device to adjust the light source, and then sends the control command to the camera device to collect the side, front and back perspective images of the battery tab; so The intelligent detection device analyzes and processes each frame of the received perspective image of the battery tab, and intelligently detects whether the battery tab is qualified. The invention also discloses a detection system using this detection method.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and in particular relates to a machine vision-based battery tab detection method and a detection system for implementing the method. Background technique [0002] At present, in the battery tab processing industry, there are quality defects such as single-layer battery tabs, out-of-tolerance dimensions, bubbles, and poor welding. The traditional manual detection method has the disadvantages of slow speed, low efficiency, false detection, and high rate of missed detection, which cannot meet the production needs. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention provides a method for detecting battery tabs based on machine vision to solve the above problems, and a detection system for implementing the method. [0004] The technical scheme that the present invention adopts for realizing the above object is: [0005] A method for...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88
CPCY02E60/10
Inventor 李景星于辰起唐三永
Owner 东莞市三瑞自动化科技有限公司
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