Vision System Color Lighting Voltage Optimization
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Solution Overview
Problem
Current vision systems employing color lighting require cumbersome and time-consuming manual adjustments of voltage values for optimal image quality, especially when examining different objects, leading to increased costs due to the need for separate systems for each object and prolonged processing times.
Innovation Solution
A method for rapidly searching for optimal voltage values in a vision system using a probe defined by multiple lighting units of different wavelengths, calculating minus standard deviations, and iteratively refining test probe points to maximize image quality through a series of comparisons and adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual voltage adjustment is performed for each lighting condition, then optimal image quality can be achieved, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically adjusts voltage values for multiple lightings by calculating minus standard deviations and iteratively refining probe points, eliminating the need for manual adjustment while achieving optimal image quality
Solution Approach 2:
The method systematically varies voltage parameters across multiple lightings by defining probe points and iteratively adjusting voltage values to maximize image quality through standard deviation analysis
2Manufacturing precision
If separate vision systems are embedded for each examination target object, then optimal examination can be performed, but equipment costs increase
Solution Approach 1:
A single vision system with multiple lightings can examine various target objects by automatically adjusting voltage values for each lighting condition, eliminating the need for separate dedicated systems for each object type
3Manufacturing precision
If voltage values are adjusted by small increments across all ranges, then optimal conditions can be found, but processing time becomes very long
Solution Approach 1:
The method performs voltage adjustment only at critical probe points rather than continuously across all ranges, and uses iterative refinement to achieve optimal conditions faster by focusing on the most impactful voltage changes
Solution Approach 2:
The system continuously calculates minus standard deviations and iteratively refines probe points in a systematic sequence, maintaining continuous optimization without interruption to efficiently converge on optimal voltage values
Data Source
AI summary
A method of controlling color lighting in a vision system is provided which is capable of rapidly searching for a voltage value which allows an optimal product image to be obtained in a vision system including a plurality of lightings. In accordance with an embodiment, a voltage value allowing an optimal product image to be obtained can rapidly searched for in a vision system including a plurality of lightings.


