AI Image Segmentation for Precise Cylindrical Battery Measurement

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Solution Overview

Problem

Conventional size measuring devices for cylindrical batteries suffer from reduced reliability due to incorrect detection of boundary lines in object images, leading to inaccurate dimension measurements when program logic errors occur.

Innovation Solution

A learning model-based size measurement apparatus and method using a pre-trained deep learning model to segment and label measurement objects, enhancing the accuracy of dimension information by segmenting images of interest and measuring pixel distances between labeled points.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a conventional size measuring device uses program logic designed by an engineer to detect edges and boundaries, then the device can operate with simple hardware and basic processing, but the measurement reliability deteriorates when errors occur in the program logic, leading to incorrect boundary detection

Engineering Contradiction:
Improvehardware complexityVSAvoidmeasurement reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent replaces the conventional mechanical/logical edge detection system (based on program logic and threshold brightness values) with an artificial intelligence-based image recognition system. The AI model automatically identifies boundaries and features in images without relying on pre-programmed logic, thereby eliminating errors associated with manual program design while maintaining hardware simplicity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If a conventional size measuring device uses threshold-based edge detection from brightness images, then the processing is fast and simple, but the measurement precision deteriorates when boundary lines are incorrectly detected

Engineering Contradiction:
Improveprocessing speedVSAvoiddimension measurement precision
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent substitutes the threshold-based edge detection algorithm with an AI-based image recognition system that automatically identifies boundaries and features. The AI model processes images to extract accurate dimensional information without relying on fixed brightness thresholds, thereby improving measurement precision while maintaining efficient processing speeds through automated feature extraction.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260017814A1Learning Model-Based Dimension Measurement Device and Method
Publication Date: 2026.01.15 LG ENERGY SOLUTION LTD
  • US20260017814A1 patent drawing
  • US20260017814A1 patent drawing
  • US20260017814A1 patent drawing

AI summary

The size measuring apparatus and method according to embodiments of the present invention can obtain highly reliable dimension measurement result data with improved precision by obtaining dimension information of a specific object in an image of interest using a pre-trained learning model.