Card Marking Vision Calibration for Precise Laser Alignment
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Solution Overview
Problem
Conventional card marking systems require time-consuming and error-prone manual adjustments of the vision and marking subsystems, leading to inefficient use of cards and potential alignment issues during the personalization process.
Innovation Solution
An automated method for determining optimized settings of the vision and marking subsystems, involving inspection and calibration processes to align the card marking system components, allowing for reduced operator intervention and improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of vision and marking subsystems is performed, then the system can be set up and aligned, but the process is time-consuming and error-prone
Solution Approach 1:
The system performs self-calibration by automatically comparing vision subsystem images with marking subsystem positions. The control unit processes inspection results and autonomously determines optimized settings for both subsystems without requiring manual intervention, enabling the system to calibrate itself
Solution Approach 2:
The vision subsystem inspects cards and generates inspection results that are fed back to the control unit. This feedback loop allows the system to compare actual marking positions with expected positions and automatically adjust settings to optimize alignment between subsystems
2Manufacturing precision
If manual iterative personalization tests are performed for adjustment, then alignment can be achieved, but a large number of cards are consumed
Solution Approach 1:
The system uses self-calibration to determine optimized settings automatically by processing inspection results through the control unit. This eliminates the need for manual iterative testing on multiple cards, achieving precise alignment while consuming minimal or no cards
Solution Approach 2:
The patent replaces manual mechanical adjustment and physical card-based testing with an automated optical inspection system. The vision subsystem captures images and the control unit processes these to determine optimal settings, substituting physical trial-and-error with computational analysis
3Ease of operation
If manual adjustment of subsystem settings is performed, then the system can be configured, but adjustment errors occur and require rework
Solution Approach 1:
The control unit automatically processes inspection results and determines optimized settings for both vision and marking subsystems. This self-calibration process eliminates manual adjustment errors by using algorithmic processing of visual data to establish precise configuration parameters
Solution Approach 2:
The vision subsystem provides continuous feedback on card inspection results, which the control unit uses to verify and refine subsystem settings. This feedback mechanism ensures high setting accuracy by constantly comparing actual performance with target parameters and making automatic corrections
Data Source
AI summary
A card-marking system is provided for personalizing plastic cards such as chip cards or identity cards by laser marking. A corresponding method for automated detection of an optimized setting includes a vision sub-system setting process for setting a vision sub-system of the card marking system and a subsequent marking sub-system setting process for setting a marking sub-system of the card-marking system. The card-marking system is designed to carry out the above method fully or semi-automatedly and to this end can include a corresponding computer program controlling the method.