Vision-Guided Battery Dispensing System for Solder Joint Positioning
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Solution Overview
Problem
Manual dispensing operations for solder joints in battery manufacturing are labor-intensive, prone to errors, and result in high production costs and low efficiency.
Innovation Solution
A dispensing system using a vision host computer and robot with a vision camera to determine dispensing positions through image processing, replacing manual operations and improving production efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual dispensing operations are used, then operational flexibility is maintained, but production efficiency is low and labor costs are high
Solution Approach 1:
The patent replaces manual mechanical dispensing operations with an automated vision-guided robot system. The robot equipped with a dispensing needle executes adhesive application based on image processing results, eliminating manual labor while maintaining precision through visual feedback and automated control.
Solution Approach 2:
The system enables self-service through automated image acquisition, processing, and robot control. The vision host computer automatically processes images to identify solder joints and determines dispensing positions, then the robot autonomously executes the dispensing operation without continuous human intervention.
2Manufacturing precision
If manual dispensing operations are used, then adaptability to variations is maintained, but manufacturing precision and consistency are poor
Solution Approach 1:
The patent introduces a vision host computer as an intermediary between image acquisition and robot control. This intermediary processes images to extract solder joint positions, calculates optimal dispensing locations, and translates them into robot motion commands, ensuring high positioning accuracy while managing system complexity through modular architecture.
Solution Approach 2:
The system implements feedback through the vision system that continuously monitors the battery module, identifies actual solder joint positions, and adjusts dispensing locations accordingly. This closed-loop feedback ensures high manufacturing precision by adapting to actual component positions rather than relying solely on pre-programmed coordinates.
3Productivity
If automated vision-guided dispensing is implemented, then production efficiency increases, but system complexity and initial investment increase
Solution Approach 1:
The vision host computer serves multiple functions: image acquisition, image processing, solder joint detection, dispensing position calculation, and robot control coordination. This multi-functionality consolidates what could be separate complex subsystems into a single integrated platform, improving productivity while managing overall system complexity.
Solution Approach 2:
The system creates a digital copy of the physical solder joint positions through image processing. This digital representation allows for precise calculation and planning of dispensing trajectories without requiring physical measurement or complex mechanical positioning systems, simplifying the overall system while maintaining high precision.
Data Source
AI summary
Embodiments of the present application provide a method and apparatus of determining a dispensing position, a dispensing system for batteries, an electronic device and a medium. The method of determining a dispensing position includes receiving an image of a battery module, processing the image to obtain a contour feature image of at least one object on the battery module, and determining, based on the contour feature image, a dispensing position of the at least one object.