Video Security Validation via Modulated Lighting Patterns
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Solution Overview
Problem
Security cameras face challenges in authenticating video feeds, as existing encryption methods do not verify the integrity and authenticity of the video captured, making it susceptible to manipulation or tampering.
Innovation Solution
A video security system that uses a lighting policy to modulate the output of floodlights, room lights, and security modules, which are then compared to stored image characteristics, ensuring that the video feed is validated by matching these modulations, thereby verifying the integrity and authenticity of the video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If encryption methods are used to protect video feeds, then security is improved, but the ability to verify integrity and authenticity is compromised
Solution Approach 1:
The system embeds a camera identifier and timestamp into the video feed data before transmission. This preliminary action creates a unique signature that can be verified later without requiring complex authentication protocols during video playback or analysis.
Solution Approach 2:
The patent introduces an intermediary validation mechanism where the embedded camera identifier and timestamp serve as a mediator between the video feed and the verification process. This intermediary element enables authenticity verification without requiring direct complex interaction between the video system and authentication systems.
2Device complexity
If video feeds are transmitted without validation, then system complexity is reduced, but susceptibility to manipulation and tampering increases
Solution Approach 1:
The system performs preliminary embedding of camera identifiers and timestamps into video feeds before transmission. This simple preliminary action creates a tamper-evident marker that can be verified later without adding complex validation infrastructure to the transmission system.
Solution Approach 2:
The patent changes the parameter state of video feeds by embedding additional data (camera identifier and timestamp) into the video stream. This parameter change transforms ordinary video feeds into validated feeds with built-in authenticity markers, providing anti-tampering capability without fundamentally altering the video transmission system.
3Measurement precision
If camera identifiers and timestamps are embedded in video feeds, then video authenticity is verified, but data processing requirements increase
Solution Approach 1:
The system embeds only the essential elements needed for authentication (camera identifier and timestamp) rather than comprehensive metadata. This partial action approach provides sufficient authentication accuracy while minimizing the additional data volume added to video feeds.
Data Source
AI summary
A method is provided in one example and includes receiving video data captured by a camera at a location; comparing a portion of the video data to security information characteristics stored in a policy; and identifying a violation of the policy when the portion of the video data does not match at least one of the security information characteristics stored in the policy. In more particular instances, the method can include triggering an alert when the violation of the policy is identified.