ID Code Recognition System Using Segmented Camera and Scanner Analysis
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Solution Overview
Problem
Existing ID code recognition systems for vehicle identification numbers (VINs) face challenges due to inconsistent engraving quality and varying illumination conditions, leading to misrecognition and increased workforce waste, with 3D scanning offering a costly solution that increases cycle time and reduces productivity.
Innovation Solution
A system combining a camera for capturing entire ID code images and a scanner for partial area analysis, with a processor that performs initial and secondary image analyses to correct misrecognitions, using a movable engraver head and controller to improve recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a general camera is used to capture ID code images, then the system cost is low, but the recognition accuracy decreases due to inconsistent engraving quality and varying illumination conditions
Solution Approach 1:
The system segments the ID code recognition process into two stages: initial recognition using a general camera for the entire ID code, and secondary verification using a scanner for specific partial areas where misrecognition is detected. This segmentation allows the system to use low-cost cameras for most operations while applying high-precision scanning only when necessary, thereby improving overall recognition accuracy without proportionally increasing costs.
Solution Approach 2:
Instead of applying expensive 3D scanning to the entire ID code recognition process, the system performs partial scanning only on specific areas where misrecognition occurs. This partial action approach maintains high recognition accuracy for problematic regions while avoiding the excessive cost and increased cycle time that would result from comprehensive scanning of the entire ID code.
2Measurement precision
If 3D scanning technique is applied to ID code recognition, then the recognition accuracy is improved, but the system cost increases and cycle time increases reducing productivity
Solution Approach 1:
The system applies 3D scanning technology partially only to specific partial areas of the ID code where misrecognition is detected, rather than scanning the entire ID code. This partial application maintains the high measurement precision benefits of 3D scanning for problematic regions while significantly reducing the cycle time and productivity loss that would occur with complete scanning of the entire ID code.
Solution Approach 2:
The recognition process is segmented into initial camera-based recognition and secondary scanner-based verification. This segmentation allows the system to use fast camera capture for initial assessment and reserve the slower but more accurate scanner for only those specific areas that require verification, thereby maintaining high productivity while improving accuracy where needed.
3Measurement precision
If reference patterns are not updated according to process condition changes, then the system operation is simple, but misrecognition occurs frequently requiring operator confirmation
Solution Approach 1:
The system implements feedback through secondary verification scanning that activates when initial recognition results are obtained. This feedback mechanism automatically detects misrecognition cases and triggers targeted scanning of partial areas, providing corrective action without requiring manual operator intervention. The feedback loop maintains high recognition accuracy while preserving operational simplicity by automating the correction process.
Solution Approach 2:
The system performs self-service by automatically detecting and correcting its own misrecognition errors through the secondary verification process. When the initial camera-based recognition identifies potential errors, the system autonomously initiates scanner verification of the problematic areas and applies corrections without requiring external operator input, thereby maintaining both high accuracy and operational simplicity.
Data Source
AI summary
The present disclosure provides an identification code recognition system, including: a camera configured to capture an image of an entire area of an identification code (ID code) engraved on a workpiece; a scanner configured to scan a partial area including at least one misrecognized character in the entire area of the ID code; and an image analyzer including a memory and a processor, wherein the memory is configured to store the ID code, data related to the ID code, an image captured by the camera, and an image scanned by the scanner, and the processor is configured to analyze the image captured by the camera and the image scanned by the scanner based on an image analysis logic.