Lithium battery production line detection system based on machine vision
By designing a lithium battery production line detection system based on machine vision, and using the improved YOLOv5 algorithm and robotic arm control to achieve automatic sorting, the problems of low manual detection efficiency and unstable accuracy in lithium battery production are solved, and the quality control level and production efficiency are improved.
Patent Information
- Application Number
- CN202411799782.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-28
AI Technical Summary
In the production process of existing lithium batteries, the manual detection efficiency is low, the accuracy is unstable, and the traditional detection technology is poor in adaptability, making it difficult to meet the needs of fast and accurate defect detection.
A lithium battery production assembly line detection system based on machine vision is designed. The system consists of an image acquisition module, an image preprocessing module, an image recognition module, a robotic arm control module, a data management and monitoring module and a user interaction module. The improved YOLOv5 algorithm is used for image recognition, and automatic sorting is achieved in combination with robotic arm control.
It realizes rapid detection, accurate positioning and automatic sorting of surface defects of lithium batteries, improves the quality control level of lithium battery production, ensures product quality and production efficiency, and reduces production costs and resource waste.