Surveillance Camera Control With Dynamic Detection Region Switching
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Solution Overview
Problem
Existing image processing systems struggle to effectively detect subjects outside predefined regions, leading to inefficiencies in processing and management of captured images.
Innovation Solution
A control device that dynamically switches the subject detection region between different sizes, shapes, and positions based on threshold times and brightness, enabling adaptive processing for improved subject detection and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the subject detection region is set to the specific region only, then the processing efficiency is improved, but the subject detection accuracy deteriorates because subjects outside the specific region cannot be detected
Solution Approach 1:
The subject detection region is dynamically switched between the first region (specific region) and the second region (larger region including effective region) based on detection results. When no subject is detected in the first region, the region is expanded to the second region, allowing the system to adaptively adjust the detection scope to balance processing efficiency and detection accuracy.
Solution Approach 2:
The detection region is divided into multiple zones: the first region (specific region) for primary detection and the second region (larger region including effective region) for extended detection. This segmentation allows the system to process different regions with different priorities, improving overall efficiency while maintaining comprehensive detection capability.
2Measurement precision
If the subject detection region is expanded to cover the entire effective region, then the subject detection accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
Instead of continuously processing the entire effective region, the system performs partial detection by first focusing on the smaller first region (specific region). Only when no subject is detected in this region does the system expand to the second region, thereby reducing unnecessary processing time while maintaining detection accuracy.
Solution Approach 2:
The detection region size is dynamically adjusted based on detection needs. The system starts with a smaller first region for faster processing and expands to the larger second region only when necessary, optimizing the balance between processing speed and detection completeness.
3Adaptability or versatility
If the detection region is frequently switched between different regions, then the adaptability to different scenarios is improved, but the system complexity increases
Solution Approach 1:
The system implements dynamic region switching between the first region (specific region) and the second region (larger region) based on simple detection results and threshold comparisons. This dynamic adjustment provides adaptability to different surveillance scenarios while maintaining relatively simple control logic through clear switching conditions.
Solution Approach 2:
The system uses feedback from subject detection results to control region switching. When no subject is detected in the first region, the system switches to the second region, and vice versa. This feedback mechanism enables adaptive behavior without requiring complex decision-making logic.
Data Source
AI summary
A subject detection region setting unit and a display/storage region image generation unit of a CPU of a controller of a surveillance camera set a subject detection region where subject detection processing is performed and a display/storage region where display/storage processing is performed, for a captured image. The subject detection region setting unit switches the subject detection region between the display/storage region, which is a first region, and an entire surface region, which is a second region having a different size and position from the display/storage region.