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Button cell negative electrode shell defect detection method based on machine vision

A defect detection, button battery technology, applied in the direction of optical testing defects/defects, instruments, measuring devices, etc., can solve the problems of difficult training, low detection accuracy, high missed detection rate, saving human resources, high detection accuracy, Detecting fast effects

Active Publication Date: 2020-10-13
广州市讯思视控科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The detection accuracy is low, the missed detection rate is high, and a lot of human resources are wasted
[0006] 1. Due to the phenomenon of visual fatigue and decreased concentration, when using artificial naked eyes to detect, due to long hours of work, it is very easy to miss detection
[0007] 2. Due to batch detection by human eyes, it is difficult to accurately calculate the radius, inner and outer circles of the negative electrode casing, resulting in low detection accuracy of the negative electrode casing
[0008] 3. The daily output of the negative electrode casing reaches the order of one million, and the workload of each inspection worker is huge. Batch browsing inspection is performed on the negative electrode casing, and the probability of missing detection is further increased.
[0009] 4. The number of skilled testing workers is about 90,000 per day. When the daily output reaches 1 million, 11 workers are required to work at the same time, which is a great waste of human resources.
[0010] 2. There is no unified standard for manual testing, and training is difficult
[0012] Manual inspection is also affected by the proficiency of workers, and there are certain differences in the understanding and understanding of inspection standards by different inspection workers, so it is difficult to achieve a unified standard for the inspection of negative electrode shells
[0013] 2. Training is difficult
[0014] Since manual inspection requires inspection workers to fully understand the characteristics of the negative electrode shell and each defect, and to carry out a certain period of training and running-in, in order to meet the requirements of the job, it takes a long time to change the personnel of the inspection workers, which is extremely Affect the production schedule of button batteries

Method used

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  • Button cell negative electrode shell defect detection method based on machine vision
  • Button cell negative electrode shell defect detection method based on machine vision
  • Button cell negative electrode shell defect detection method based on machine vision

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Embodiment

[0038] figure 1 It is a schematic diagram of a button battery negative shell defect detection system applying the detection method of the present invention. The negative shell enters the upper conveyor belt 6 in an orderly manner from the reverse side of the shock plate discharge, and passes through the first station 1, the second station 2, and the third station successively. The camera at the No. 3 station performs defect detection. After passing through the No. 3 station, it enters the overturning launder 7, and enters the lower conveyor belt 8 with the front face up, and then passes through the cameras at the No. 4 station 4 and No. 5 station 5 to detect defects. , if it is judged as a defective product, it will be rejected.

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Abstract

The invention relates to a button cell defect detection technology, in particular to a button cell negative electrode shell defect detection method based on machine vision, which comprises the following steps: a negative electrode shell is discharged, sequentially passes through a station I, a station II and a station III for defect detection in a manner that the reverse side faces upwards, then enters a turnover runner, and sequentially passes through a station IV and a station V in a manner that the front side faces upwards for defect detection; the station I is used for detecting colloid defects of a reverse sealing ring of the button cell negative electrode shell; the station II is used for detecting defects of a metal surface and a sealing ring on the reverse side of the button cell negative electrode shell; the third station is used for detecting defects of inner glue shortage and outer glue shortage of the reverse side of the button cell negative electrode shell; the station IVis used for detecting defects of a front sealing ring colloid and a metal surface of the button cell negative electrode shell; and the station V is used for performing external dotting and crushing defect detection on the front surface of the button cell negative electrode shell. According to the invention, different visual light source configurations are respectively adopted at a plurality of visual detection stations to carry out omnibearing detection on inner and outer edges, surfaces and the like of the front and back surfaces of the button cell negative electrode cover.

Description

technical field [0001] The invention relates to a button battery defect detection technology, in particular to a machine vision-based method for detecting a button battery negative electrode shell defect. Background technique [0002] The materials needed to produce button batteries include: positive electrode case, positive electrode material, diaphragm, negative electrode material, gasket, shrapnel and negative electrode case. The function of the negative electrode case is mainly used to load the internal materials of the button battery and isolate it. During the manufacturing process of the negative electrode shell, there will be back flash, inner flash, mouth flash, inner lack of glue, outer glue shortage, inner dots, outer dots, scratches, deformation, plastic cover, poor injection molding shrinkage, white cover, oil stains And crush defects will lead to defects such as leakage, short circuit, flash, scratches and other defects in the production process of button batter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8854G01N2021/8887Y02E60/10
Inventor 张祺周志武蔡松涛
Owner 广州市讯思视控科技有限公司
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