PCB Identification Using Component Position Deviation Selection
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Solution Overview
Problem
Existing methods for circuit board traceability, such as using barcodes or RFID, increase manufacturing costs and require additional work, while relying on fine position deviation of components for identification leads to inefficiently large identification information without improving identification ability.
Innovation Solution
A board management system that extracts feature amounts based on the degree of variation in component mounting positions, using a camera to capture board images, and generates individual identification information from these features to improve identification ability without increasing the number of components used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual identification information is applied to circuit boards using labels or printing facilities, then traceability is achieved, but manufacturing cost increases and additional work is required
Solution Approach 1:
The circuit board itself serves as the identification carrier through its component arrangement pattern, eliminating the need for separate identification labels or printing facilities. The board's own structure provides the unique identifier through the spatial configuration of its components.
Solution Approach 2:
The identification function is extracted from separate physical labels or printed markings and integrated into the board's structural configuration through component placement patterns.
2Measurement precision
If fine position deviation of all mounted components is used for generating individual identification information, then identification ability increases, but the size of identification information increases wastefully
Solution Approach 1:
Only the position deviation information of components that contribute to unique board identification is extracted and utilized, discarding redundant information from components with minimal or identical position variations.
Solution Approach 2:
Different components are treated differently based on their contribution to identification: components with significant position deviations are used for identification, while those with minimal deviations are excluded, creating a non-uniform selection strategy.
Data Source
AI summary
A board management system includes an extraction means and a generation means. The extraction means extracts a feature amount that depends on position deviation, for each of a plurality of specific components determined in advance based on a degree of variation in the component mounting position, among a plurality of components in a board image in which a board is captured. The generation means generates individual identification information to be used for identifying a board, from the extracted feature amount.