Dynamic Camera Filtering for Video Privacy
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Solution Overview
Problem
In video conferencing, participants are concerned about their appearance and security, as sensitive information may be inadvertently shared when not within the frame of view, highlighting the need for real-time adaptive user attention sensing and dynamic filtering of video feeds.
Innovation Solution
An information handling system equipped with a camera sensor, user presence and focus state manager, and dynamic filtering service generates inferences on user presence and focus, applying filtering actions to dynamically-generated information, such as modifying video streams or audio, to ensure privacy and appearance management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video conferencing systems continuously capture and transmit video feeds, then communication quality and user engagement are improved, but privacy security and sensitivity protection deteriorate
Solution Approach 1:
The system performs preliminary detection of sensitive information in the video feed before transmission. The sensitive information detection module analyzes the video content in real-time to identify sensitive regions (such as confidential documents, personal information, or restricted areas) before the video is fully processed and transmitted to other participants, preventing privacy leaks in advance
Solution Approach 2:
The system applies different processing quality to different regions of the video feed. Instead of uniformly processing the entire video, the system identifies sensitive regions and applies selective filtering or blurring only to those specific areas while maintaining normal video quality in non-sensitive regions, thus protecting privacy without degrading overall communication quality
2Object-affected harmful factors
If users are constantly monitored via camera to ensure appearance and security, then privacy protection is improved, but user autonomy and natural behavior deteriorate
Solution Approach 1:
The system provides real-time feedback to users about their video feed status. When sensitive information is detected, the system notifies the user and applies filtering automatically, then confirms the action with the user. This feedback loop ensures users remain in control of their video feed while benefiting from automated privacy protection
Solution Approach 2:
The system enables users to define their own privacy preferences and sensitive information criteria. Users can configure what constitutes sensitive information (e.g., specific documents, areas, or objects) and the system automatically applies these user-defined rules without requiring constant user intervention or monitoring
3Object-affected harmful factors
If real-time video processing and filtering is implemented, then privacy security is improved, but system complexity and processing overhead increase
Solution Approach 1:
The video processing system is divided into independent modular components: sensitive information detection module, video feed processing module, and filtering application module. Each module performs a specific function and can be independently configured, maintained, and optimized, reducing overall system complexity while maintaining comprehensive privacy protection capabilities
Data Source
AI summary
An information handling system may include a plurality of sensors comprising a camera sensor for communicating camera data, a user presence and focus state manager configured to receive the camera data and generate an inference of user presence and focus based on the camera data, and a dynamic filtering service. The dynamic filtering service may be configured to receive the inference, determine based on the inference a filtering action, and cause the filtering action to be applied to dynamically-generated information associated with a user of the information handling system and communicated to other information handling systems communicatively coupled to the information handling system.