Camera Video Capture Control for Security System Maintenance
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Solution Overview
Problem
Existing security systems rely on human observation for object detection and classification, and lack efficient methods to manage video capture interruptions, such as during system maintenance or power outages.
Innovation Solution
A computer-implemented method and apparatus that determine a time period when a video camera may be impeded from capturing video, and based on known cause-and-effect relationships with other electronics devices, assess operational or physical environment requirements to decide whether to allow or prevent video capture interruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video capture is continuously performed to maintain security monitoring, then security coverage and detection capability are improved, but system reliability deteriorates when electronic devices fail or require maintenance
Solution Approach 1:
The system performs preliminary assessment of operational requirements and predicts future video capture interruptions before they occur. By evaluating the operational status of electronic devices and predicting potential failures or maintenance needs, the system proactively manages video capture interruptions, ensuring security continuity while accommodating necessary system maintenance or device failures.
2Ease of manufacture
If video capture is interrupted during system maintenance or power outages, then device maintenance and energy conservation are improved, but security monitoring coverage deteriorates
Solution Approach 1:
The system dynamically adjusts video capture operations based on real-time assessment of operational requirements and predicted interruptions. Rather than maintaining fixed continuous capture, the system adaptively manages video capture timing and duration, allowing interruptions for maintenance or power conservation when safe, while ensuring security monitoring resumes or alternates to maintain overall reliability.
3Productivity
If human observation is used for object detection and classification, then system complexity is reduced, but productivity and response time deteriorate
Solution Approach 1:
The system implements self-service automation for assessing operational requirements and predicting video capture interruptions. The automated system evaluates device status, predicts failures or maintenance needs, and manages video capture timing without human intervention, thereby improving productivity and response time while the complexity is managed through automated decision-making algorithms.
Data Source
AI summary
A method and system for controlled absence of moving objects from the field of view of a camera during a defined time period is disclosed. When data generated by an at least one electronics device or a respective controller thereof confirms that the physical environment requirements of the at least one electronics device will be met, or confirms that the at least one electronics device will be controlled to meet the operational requirements, the video camera is allowed to enter a mode where the capturing of the video is impeded during the time period. Conversely, when the data indicates that the physical environment requirements will not be met, or that the at least one electronics device will not be controlled to meet the operational requirements, the system ensures that the capturing of the video is not impeded during the time period.