Image Sensing Apparatus Automatic Condition Setting
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Solution Overview
Problem
Existing image sensing apparatuses face difficulties in easily setting and accurately configuring image sensing conditions for visual inspections, leading to inefficiencies and inconsistencies in defect detection due to reliance on human subjective evaluation.
Innovation Solution
An image sensing apparatus and method that utilize an evaluation value based on the ratio of contrast values and areas of defective and non-defective regions to optimize image sensing conditions, including illumination intensity and position adjustments, to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image sensing conditions are tested to find optimal settings, then defect detection accuracy is improved, but operation complexity increases
Solution Approach 1:
The system automatically evaluates multiple image sensing conditions and selects optimal settings without requiring manual user intervention. The evaluation unit autonomously assesses different illumination conditions, sensing positions, and other parameters, then the selection unit automatically chooses the best conditions based on evaluation results, eliminating the need for complex manual operations while maintaining high detection accuracy
Solution Approach 2:
The system systematically varies multiple image sensing parameters including illumination intensity, illumination position, sensing position, and sensing angle to evaluate their effects on defect detection. By automatically testing and comparing different parameter combinations, the system identifies optimal settings without requiring users to manually adjust and evaluate each parameter, thus improving accuracy while simplifying operation
2Measurement precision
If manual evaluation of image sensing conditions is performed, then detection accuracy can be optimized, but time consumption increases
Solution Approach 1:
The system replaces manual mechanical evaluation processes with automated computational evaluation. The evaluation unit uses image processing algorithms to automatically assess defect detection quality under different sensing conditions, eliminating the need for manual visual inspection and subjective judgment. This automated approach rapidly evaluates multiple conditions and identifies optimal settings without time-consuming human intervention
Solution Approach 2:
The system performs preliminary automated evaluation of multiple image sensing conditions before actual defect detection begins. By pre-assessing and selecting optimal sensing conditions in advance through automated evaluation, the system avoids time-consuming manual adjustments during actual inspection operations, thus reducing overall time consumption while maintaining high setting accuracy
Data Source
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AI summary
This invention is directed to easily set the image sensing conditions of an image sensing apparatus. The image sensing apparatus includes a first control means for controlling to change the image sensing conditions, an image sensing means to sense an image sensing target at every first time interval, and to calculate the evaluation value of the sensed image, and a second control means for controlling to change the image sensing conditions within the range where the evaluation value obtained by the first control means changes from increase to decrease, the image sensing means to sense the image sensing target at every second time interval smaller than the first time interval, and to calculate the evaluation value of the sensed image.