Individual Identification Apparatus Imaging Condition Alignment
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Solution Overview
Problem
Existing individual identification systems face challenges in ensuring that the imaging conditions of matching images and registration images coincide, particularly in the absence of visual guides like logos, leading to difficulties in setting and maintaining consistent imaging parameters across different camera systems.
Innovation Solution
An individual identification apparatus and method that includes a setting means for adjusting imaging conditions, an acquisition means for capturing matching images, and a control means for iteratively adjusting and matching these images with registration images to achieve a preset matching degree threshold, ensuring consistent imaging conditions for accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a matching image is captured under a predetermined imaging condition, then the imaging condition can be controlled, but it is difficult to allow the imaging condition of the matching image to positively coincide with the imaging condition of the registration image
Solution Approach 1:
The system performs preliminary actions by capturing multiple reference images under different imaging conditions before the actual matching operation. These reference images are stored and later used to determine the optimal imaging condition for capturing the matching image, ensuring that the imaging condition can be precisely controlled and matched with the registration image without requiring complex real-time adjustment mechanisms.
Solution Approach 2:
The system implements feedback by comparing the matching image with the registration image and adjusting the imaging condition accordingly. The control unit receives feedback information about the matching result and uses this information to determine whether the imaging condition is appropriate, allowing for iterative improvement and precise control of the imaging parameters to achieve coincidence with the registration image conditions.
2Adaptability or versatility
If there is no logo or guide for the matching area, then the object can be imaged freely, but it is difficult to set the reference image to the matching area
Solution Approach 1:
The system introduces an intermediary approach by capturing multiple reference images under different imaging conditions and using these as mediators to determine the optimal imaging condition for the matching area. Instead of relying on direct visual guides like logos, the system uses the reference images as intermediaries to infer the correct positioning and imaging parameters, allowing flexible imaging while maintaining precise matching area identification through algorithmic analysis of the reference image set.
3Adaptability or versatility
If the registration image is captured under different imaging conditions than the matching image, then the system can handle varied conditions, but the matching degree between the matching image and registration image decreases
Solution Approach 1:
The system applies parameter changes by capturing multiple reference images under different imaging conditions and using these varied parameters to determine the optimal imaging condition for the matching image. The control unit analyzes the reference images with different parameters (focus distance, aperture, lighting) and selects the parameter set that will produce the highest matching degree with the registration image, thereby maintaining high reliability while still being able to handle varied imaging conditions through the reference image database.
Data Source
AI summary
An individual identification apparatus includes a setting means for setting an imaging condition for imaging a matching area of an object by a camera, an acquisition means for acquiring a matching image that is an image obtained by imaging the matching area of the object by the camera, a matching means for performing matching between the matching image and a registration image registered in advance, and a control means. The control means repeats processing of acquiring the matching image by the acquisition means and matching between the matching image and the registration image by the matching means, while changing the imaging condition set by the setting means, and determines an imaging condition in which a matching degree between the matching image and the registration image becomes a preset threshold or larger. The matching means identifies an individual based on the matching image captured under the determined imaging condition.