Camera Field of View Reconfiguration for Video Analytics
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Solution Overview
Problem
The increasing demand for sophisticated video analytics in cameras leads to higher processing power requirements, resulting in increased costs due to the need for more powerful processing resources in cameras or cloud computing services.
Innovation Solution
A method and system where a first camera identifies an event of interest and communicates with a second camera to reconfigure its field of view and analytics settings, allowing the second camera to perform video analytics on previously masked areas, thereby optimizing processing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If more powerful processing resources are used in cameras to perform sophisticated video analytics, then video analytics capability is improved, but camera cost increases
Solution Approach 1:
The patent implements dynamic reconfiguration of camera fields of view based on detected events. The system adjusts which cameras perform which analytics in real-time, allowing a single camera to perform multiple analytics functions dynamically rather than requiring each camera to have all capabilities built-in permanently.
Solution Approach 2:
The patent enables cameras to perform multiple video analytics functions by reconfiguring their fields of view. A camera equipped for one type of analytics can be reconfigured to perform different analytics on different portions of its field of view, making it a multi-functional device that reduces the need for specialized expensive hardware for each analytics type.
2Device complexity
If cloud computing services are used to perform video analytics, then processing power requirement is reduced in cameras, but computing cost increases
Solution Approach 1:
The system dynamically determines which cameras should perform which analytics based on real-time event detection. This dynamic allocation allows the system to optimize cloud computing resource usage by directing analytics to the most appropriate cameras, reducing overall cloud computing costs while maintaining analytics capabilities.
Solution Approach 2:
The system enables cameras to autonomously determine their own functionality based on detected events. When an event is detected, the camera self-configures to perform appropriate analytics on relevant portions of its field of view, reducing the need for continuous cloud computing services and associated costs.
3Reliability
If video analytics are performed on the entire field of view, then complete coverage is achieved, but processing power consumption increases
Solution Approach 1:
The patent applies different analytics to different portions of the camera field of view based on detected events. Instead of performing the same analytics uniformly across the entire field of view, the system tailors analytics to specific local areas where events occur, reducing overall processing power consumption while maintaining comprehensive coverage where needed.
Solution Approach 2:
The system segments the camera field of view into different regions and applies analytics selectively to relevant segments. When an event is detected in a particular area, only that segment is analyzed in detail, while other segments may use different or no analytics, significantly reducing total processing power requirements while maintaining reliable event detection.
Data Source
AI summary
Techniques for reconfiguring a second camera based on a first camera are provided. An event of interest is identified at a first camera using a first analytic. The event of interest occurring in a portion of a field of view of the first camera. A second camera whose field of view includes at least a portion of the event of interest in a field of view of the second camera is identified. It is determined that the second camera is equipped with a second analytic, the second analytic not currently operating on the at least a portion of the event of interest in the field of view of the second camera. The second camera is reconfigured to perform the second analytic on the at least the portion of the event of interest in the field of view of the second camera.