Unlock instant, AI-driven research and patent intelligence for your innovation.

A kind of front visual detection method of battery cap

A technology of visual inspection and battery cover, which is applied in the directions of measuring devices, optical testing flaws/defects, image enhancement, etc., which can solve the problems of easy false detection and missed detection, difficulty in product quality assurance, slow manual detection speed, etc., and achieve high accuracy High, fast detection effect

Active Publication Date: 2020-12-29
FOSHAN UNIVERSITY +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the battery production process, the battery cap is prone to various production defects, especially the front of the battery cap is prone to various quality defects
With the continuous development of the new energy industry, the quality requirements for battery caps are getting higher and higher. However, most battery manufacturers currently use manual inspection methods to inspect the appearance of battery caps. Due to the slow speed of manual inspection, human emotions Influenced by experience and experience, it is easy to misdetect and omit detection, it is difficult to guarantee product quality, and it is difficult to meet the comprehensive testing requirements of large quantities of products

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A kind of front visual detection method of battery cap
  • A kind of front visual detection method of battery cap
  • A kind of front visual detection method of battery cap

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The concept, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, features and effects of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative efforts belong to The protection scope of the present invention. In addition, all the connection / connection relationships mentioned in this article do not refer to the direct connection of components, but mean that a better connection structure can be formed by adding or reducing connection accessories according to specific implementation conditions. The various technical features in the invention can be combined interactively on the premise of not conflicting...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a battery cap front side vision detection method. The method comprises steps: a camera is calibrated, and the front side image of the battery cap is acquired through the camera; the front side image and the battery cap are subjected to size comparison, and a correction coefficient is acquired; through the front side image, the edge arc and the intermediate ring body of the battery cap front side are detected, and a disqualified battery cap is separated out; through the front side image, a vision defect area in the battery cap front side is detected, and a disqualified battery cap is separated out; through the front side image, a solder point defect area in the battery cap front side is detected, and a disqualified battery cap is separated out; and a battery cap which passes through the above detection steps is judged to be qualified. The front side of the battery cap is subjected to image acquisition through the camera, battery cap quality detection is realized through the image processing technology, the detection speed is quick, and the accuracy is high.

Description

technical field [0001] The invention relates to the technical field of batteries, and more specifically relates to a method for visually detecting the front of a battery cap. Background technique [0002] The battery cap is the core component of the battery. It not only serves as a conductive electrode, but also provides battery sealing and safety valves. Its quality directly affects the service life of the battery and personal safety. Therefore, it is necessary to check the battery cap before installing the battery. Strict appearance inspection. [0003] During the battery production process, the battery cap is prone to various production defects, especially the front of the battery cap is prone to various quality defects. With the continuous development of the new energy industry, the quality requirements for battery caps are getting higher and higher. However, most battery manufacturers currently use manual inspection methods to inspect the appearance of battery caps. Du...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/62G06T7/11G06T7/12G06T7/13G01N21/88G01N21/95G01N21/952
CPCG01N21/8851G01N21/95G01N21/952G01N2021/8887G06T7/0006G06T2207/10004G06T2207/30108G06T7/11G06T7/12G06T7/13G06T7/62
Inventor 苏彩红詹宁宙王莉华
Owner FOSHAN UNIVERSITY