Multi-Camera Battery Dimension Inspection for Accurate Tolerance Measurement
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Solution Overview
Problem
Existing methods for measuring geometric tolerances in large-dimension finished lithium batteries suffer from low detection accuracy due to manual handling and the limitations of traditional gauges.
Innovation Solution
A dimension detection device with multiple motion apparatuses and image acquisition assemblies, capable of moving in different directions to cover larger areas, and utilizing backlight scenes to highlight features while blurring surface interference, along with automated positioning and calibration to improve precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual handling and traditional gauges are used for dimension detection, then the detection process is simple to operate, but the detection accuracy is low
Solution Approach 1:
The patent replaces manual mechanical gauge measurement with an automated image acquisition system. Multiple image acquisition assemblies capture images of the battery from different positions, and a processing system automatically calculates dimensions from these images, eliminating the need for manual gauge operations and significantly improving detection accuracy.
Solution Approach 2:
The detection system is divided into multiple independent image acquisition assemblies positioned at different locations. Each assembly captures specific regions of the battery, and the processing system integrates these segmented images to obtain complete dimension information, enabling accurate measurement of large-dimension batteries.
2Measurement precision
If multiple image acquisition assemblies are used to cover larger areas, then the detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The multiple image acquisition assemblies use the same structural design and functional capabilities. Each assembly can independently capture images and contribute to the overall dimension measurement, allowing the system to handle different battery sizes and measurement requirements using a standardized multi-functional approach.
3Productivity
If automated motion apparatuses are used to drive image acquisition assemblies, then the detection efficiency is improved, but the device complexity increases
Solution Approach 1:
The system incorporates motion apparatuses that enable the image acquisition assemblies to dynamically adjust their positions. This dynamic capability allows the system to adapt to different battery sizes and measurement requirements, automatically positioning cameras to capture optimal images without manual intervention, thereby improving detection efficiency.
Data Source
AI summary
A dimension detection device includes: a frame, a detection area being disposed on the frame; two first dimension detection apparatuses disposed on the frame, the two first dimension detection apparatuses being positioned on two opposite sides of the detection area; and two second dimension detection apparatuses disposed on the frame, the two second dimension detection apparatuses being positioned on other two opposite sides of the detection area. The first dimension detection apparatus includes a first motion apparatus and a first image acquisition assembly, and the first motion apparatus is capable of driving the first image acquisition assembly to move. The second dimension detection apparatus includes a second motion apparatus and a second image acquisition assembly, and the second motion apparatus is capable of driving the second image acquisition assembly to move.