Video Surveillance Event Extraction and Encryption
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Solution Overview
Problem
Current video surveillance systems over-collect data, capturing both relevant and irrelevant content, which raises privacy concerns and inefficiencies due to the large volumes of high-quality video footage being stored, making it desirable to limit video footage collection to authorized uses.
Innovation Solution
A method involving a surveillance system that receives video footage, analyzes it to detect events, generates a video collection based on a watchlist indicating approved events, encrypts the footage to restrict access to only approved content, and provides users with access to the encrypted video collection, using cryptographic keys managed by an authorization system to control access and ensure compliance with changing authorized uses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video surveillance systems store large volumes of high-quality video footage, then the quality and completeness of surveillance data is improved, but storage costs and privacy concerns increase
Solution Approach 1:
The system extracts and retains only the relevant portions of video footage that contain events of interest, while discarding irrelevant portions. This is achieved through event detection algorithms that identify and isolate segments containing authorized events, thereby reducing storage requirements while maintaining surveillance effectiveness.
Solution Approach 2:
The system applies different quality standards to different portions of video footage based on their relevance. High-quality retention is applied to segments containing events of interest, while lower quality or complete discarding is applied to irrelevant segments, optimizing the balance between surveillance needs and storage costs.
2Loss of information
If video surveillance systems retain all collected video footage, then access to complete information is improved, but privacy concerns and resource inefficiency increase
Solution Approach 1:
The system extracts and retains only video segments that contain authorized events of interest, discarding segments that do not contain such events. This extraction process ensures that complete information about authorized events is preserved while removing content that raises privacy concerns.
Solution Approach 2:
The system performs preliminary analysis of video footage to identify and flag segments containing events of interest before final retention decisions are made. This preliminary action allows the system to pre-determine which portions should be retained, ensuring information completeness for authorized events while avoiding unnecessary retention of privacy-intrusive content.
3Measurement precision
If video surveillance systems review all collected footage, then detection accuracy is improved, but review efficiency and resource consumption decrease
Solution Approach 1:
The system extracts and presents only the relevant video segments containing detected events to reviewers, eliminating the need to manually review entire hours of footage. This extraction dramatically improves review efficiency while maintaining detection accuracy by ensuring that all relevant events are captured in the condensed reviewable content.
Solution Approach 2:
The system performs preliminary automated analysis of video footage to detect and flag events of interest before human review. This preliminary detection action filters out irrelevant content, allowing reviewers to focus only on segments that require their attention, thereby significantly improving productivity without sacrificing detection accuracy.
4Adaptability or versatility
If video surveillance systems access original footage for all users, then access flexibility is improved, but security and access control become more difficult
Solution Approach 1:
The system segments video footage into distinct portions based on event types and authorization levels. Different users are granted access to specific segments according to their authorization, providing flexibility in access control while maintaining security. This segmentation allows the system to adapt to different user needs without compromising overall security.
Solution Approach 2:
The system applies different access control policies to different portions of video footage based on their content and sensitivity. Highly sensitive segments receive stricter access controls, while less sensitive segments allow broader access. This localized approach to access control maintains security for critical content while providing flexibility for general surveillance needs.
Data Source
AI summary
Provided herein are systems and methods for automatically limiting video surveillance collection to authorized uses and authorized users. To achieve this control, the authorization system can be configured to manage and secure a plurality of crypto keys associated with encrypting a plurality of corresponding video footages and release a crypto key for a video footage at approved times to limit user access to the video footage. In particular, the surveillance system can generate a video collection including a copy of portions of a received video footage that include one or more approved events from a watchlist of a user. Thereafter, the video footage can be encrypted by a first key managed by the authorization system and prevents the user from accessing video content of the video footage once encrypted. Accordingly, the user may be limited to accessing the video collection and not all the portions in the encrypted video footage.