Camera System Search Zone Optimization for Coding Detection
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Solution Overview
Problem
Existing camera systems face challenges in reliably detecting codings due to incorrect settings of the search zone, particularly when codings are partially outside the detection range or at varying depths, leading to poor quality or missed detections.
Innovation Solution
A camera system and method that determine the reading reliability of the search zone by analyzing the positions of contour points relative to its edges, allowing for adjustments such as enlarging the search zone, optimizing the field of view, depth of field, and aperture to ensure all relevant data falls within the detection range, and providing notifications for critical reliability issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the search zone is enlarged to capture all relevant codings, then the detection coverage is improved, but the reading reliability decreases due to increased distance from contour points to edges
Solution Approach 1:
The search zone is made dynamically adjustable based on real-time analysis of contour point positions. The system continuously monitors the distribution of contour points and automatically optimizes the search zone boundaries to maintain optimal reading reliability while adapting to varying coding positions and depths.
Solution Approach 2:
The system implements feedback mechanisms by analyzing the positions of contour points relative to search zone edges and using this information to adjust the search zone parameters. This closed-loop control ensures that the search zone is optimized for reading reliability based on actual detection data.
2Reliability
If the search zone is reduced to improve reading reliability, then the detection precision is improved, but the detection coverage decreases causing missed detections
Solution Approach 1:
The search zone dimensions and position are dynamically adjusted based on the analyzed distribution of contour points. This allows the system to optimize the balance between reading reliability and detection coverage in real-time, rather than using fixed parameters.
Solution Approach 2:
The system changes the parameters of the search zone (position, size, orientation) based on the analyzed contour point data. By adapting these parameters to the actual coding positions and depths, the system maintains high reading reliability while ensuring comprehensive detection coverage.
3Area of stationary object
If the field of view is adjusted to optimize detection range, then the coverage area is improved, but the depth of field and aperture settings become suboptimal affecting reading reliability
Solution Approach 1:
The camera parameters including field of view, depth of field, and aperture are dynamically adjusted based on the analyzed contour point positions. This coordinated optimization ensures that all parameters work together to maintain high reading reliability while providing adequate coverage.
Solution Approach 2:
The system performs coordinated parameter changes across multiple camera settings (field of view, depth of field, aperture) based on the analysis results. This multi-parameter optimization resolves the trade-off between coverage area and reading reliability by finding the optimal configuration for each situation.
Data Source
AI summary
A method for operating a camera system for detecting codings, in which positions of contour points of the codings are determined in relation to edges of a search zone of the camera system, wherein a reading reliability of the search zone is determined from a distance of the contour points from the edges of the search zone.