Battery Tray Position Check Using AI Vision
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Solution Overview
Problem
The manual checking of battery cell direction in battery trays is time-consuming and prone to operator errors, leading to incorrect determinations and increased test costs.
Innovation Solution
A battery test apparatus equipped with a camera and processor that implements a computer vision AI algorithm to automatically check the alignment and direction of battery cells, using a modified YOLO algorithm to capture images and determine the correct orientation of battery cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual checking by operator is used, then device complexity is low, but checking time is long and reliability is low
Solution Approach 1:
The patent replaces the manual mechanical checking process with an automated computer vision system using cameras and image processing algorithms. The system captures images of battery cells and automatically determines their directions through algorithmic analysis, eliminating the need for manual visual inspection and significantly reducing checking time while improving consistency and reliability.
Solution Approach 2:
The system enables self-service by automatically performing the direction checking function without requiring operator intervention. The computer vision system independently captures, processes, and evaluates battery cell directions, making the inspection process autonomous and removing dependency on human operators for each checking operation.
2Measurement precision
If manual checking by operator is used, then device complexity is low, but measurement precision is low due to operator errors
Solution Approach 1:
The patent replaces manual visual inspection with an automated computer vision system that uses cameras to capture images and algorithmic processing to determine battery cell directions. This substitution eliminates operator errors and provides consistent, objective measurements of battery cell orientation, significantly improving measurement precision while managing system complexity through standardized automated processes.
3Loss of time
If manual checking procedure is used, then device complexity is low, but loss of time is high
Solution Approach 1:
The automated computer vision system enables continuous operation without interruption. The system can rapidly capture and process images of multiple battery cells in sequence, maintaining continuous productive action throughout the inspection process. This eliminates the intermittent nature of manual checking and significantly reduces total checking time while managing system complexity through efficient automated workflows.
Data Source
AI summary
This application relates to a battery test apparatus and an operating method thereof to check whether the direction of battery cells provided inside a battery tray is correct by implementing a computer vision AI algorithm. In one aspect, the method includes performing a first test for checking whether a battery tray has been correctly aligned with the battery test apparatus. The method may also include capturing a battery tray image including a plurality of battery cells using a camera upon alignment of the battery tray. The method may further include obtaining related information on battery cells from the battery tray image, and loading the related information on the battery cells. The method may further include performing a second test for checking whether directions of the battery cells are correct.