Lithium battery defect detection system and method based on machine vision

A defect detection and machine vision technology, applied in the direction of optical testing defects/defects, instruments, measuring devices, etc., can solve the problems of non-real-time detection, artificial naked eye detection, low detection efficiency, etc., to improve detection accuracy and stability, save money Human resources, the effect of high detection efficiency

Active Publication Date: 2020-03-31
WUXI LEAD INTELLIGENT EQUIP CO LTD
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AI Technical Summary

Problems solved by technology

In the existing production process, since the detection step is after the edge cutting and before glue dispensing, this detection process is difficult to carry out manual detection on the machine, and most of them are manually inspected with the naked eye after gluing or before the production line
When using the existing detection process, because the detection is not real-time, the artificial naked eye is prone to visual fatigue, and the human influence factors are large, there are phenomena such as low detection efficiency and high missed detection rate.
[0003] In the existing technical process, manual detection has many shortcomings, such as not real-time detection, different human judgment standards, more human factors, etc., which will also lead to the damage of lithium batteries caused by artificial secondary contact

Method used

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  • Lithium battery defect detection system and method based on machine vision
  • Lithium battery defect detection system and method based on machine vision
  • Lithium battery defect detection system and method based on machine vision

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0042] Lithium battery defect detection system based on machine vision, such as figure 1 As shown, it includes a CCD camera 1, a visual detection system 2, and a control system 3; wherein the visual detection system 2 can be a computer on which visual detection software is installed; the control system 3 can be an industrial computer; the detection station 4 can be set A sensor to detect whether there is a lithium battery in the fixture, and if so, trigger the CCD camera 1 to collect images accordingly;

[0043] The CCD camera 1 is aligned laterally at the detection station 4 to take images of the side of the lithium battery; the CCD camera 1 is connected to the visual inspection system 2, and the visual inspection system 2 is connected to the control system 3;

[0044] figure 2 shows the normal situation after the trimming process of the lithium battery, th...

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Abstract

The invention provides a lithium battery defect detection method based on machine vision. The method comprises the following steps: S1, collecting an image of the side edge of a lithium battery; S2, processing and analyzing the collected image through vision detection software; S3, performing qualified product and unqualified product flow division treatment on the lithium battery according to theimage processing and analysis judging results. A side edge image of the lithium battery after the edge cutting and before glue dripping is shot by a camera; whether the side edge of the lithium battery has conditions of damage, liquid leakage, sealing film edge cutting defects and the like or not is detected through image analysis; the detection result is fed back to an industrial personal computer in real time; finally, unqualified lithium batteries are picked out.

Description

technical field [0001] The invention relates to the technical field of lithium battery automation equipment, in particular to a machine vision-based lithium battery defect detection system. Background technique [0002] In the lithium battery production process, before the side of the lithium battery is glued, it is necessary to detect whether the side is damaged, leaked, and the edge of the sealing film is poorly cut. In the existing production, the lithium battery is first extracted from the production line into the fixture, and then glued after being trimmed by a cutter. It is very important to determine whether the side of the battery is damaged before gluing, which involves the pass rate of the battery and safety. In the existing production process, because the detection step is after the edge cutting and before glue dispensing, this detection process is difficult to carry out manual detection on the machine, and most of them are manually inspected with the naked eye a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8861G01N2021/8874G01N2021/888G01N2021/8887
Inventor 沈诚赵晶晶丁辉戴志远
Owner WUXI LEAD INTELLIGENT EQUIP CO LTD
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