Automated Media Filtering via Sensor-Based Presence Detection
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Solution Overview
Problem
Existing systems fail to effectively control media access and maintain privacy, particularly in situations where minors are exposed to adult content or employees want to keep their internet browsing private from colleagues.
Innovation Solution
Automated media filtering systems that use sensors to detect changes in proximity and programming, comparing these changes with predefined access control rules to modify media content delivery, such as switching channels or applications, to ensure appropriate content is displayed based on the presence of individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If VCHIP authentication system is used to control media access, then minor access to adult content is limited, but the system cannot detect when a minor enters the room and automatically modify content
Solution Approach 1:
The system automatically detects minor presence through sensors and modifies content without requiring manual intervention from the authorized user. The media player self-adjusts programming based on sensor input, eliminating the need for the user to manually change channels or modify settings when a minor enters the room.
Solution Approach 2:
The system continuously monitors the environment using sensors (motion detectors, facial recognition cameras) and uses this feedback to automatically adjust media content. When a minor is detected, the system receives feedback about the changing situation and automatically modifies the programming to appropriate levels, creating a closed-loop control system.
2Loss of information
If hot key switching is used to maintain privacy, then employee browsing privacy is partially protected, but the system is not fully automated and requires manual action
Solution Approach 1:
The system automatically switches between applications based on detected presence without requiring the user to press hot keys or manually switch applications. When a colleague is detected approaching or present, the system autonomously switches from private browsing applications to acceptable applications, maintaining privacy protection without manual intervention.
Solution Approach 2:
The system introduces an intermediary layer of automation between the user's privacy needs and the application switching action. Instead of requiring direct user action, the system uses sensors and automated logic as intermediaries to detect situations and execute appropriate responses, making the privacy protection process transparent and automatic.
3Object-affected harmful factors
If manual channel changing is required when a minor is detected, then content control is maintained, but the authorized viewer must constantly monitor and manually adjust content
Solution Approach 1:
The media player automatically monitors its own output content and self-adjusts programming based on sensor input. When a minor is detected, the system automatically switches from adult content to child-appropriate programming without requiring the authorized viewer to manually change channels or adjust settings, reducing the operational burden while maintaining content control.
Solution Approach 2:
The system continuously monitors both the media content and the environment for minor presence, ensuring that appropriate content is always being displayed. This continuous automated monitoring and adjustment eliminates the need for intermittent manual intervention, maintaining consistent protection against harmful content while reducing the complexity of user involvement.
Data Source
AI summary
Various systems and methods for automated media filtering are disclosed. For example, some methods include receiving an indication of a situational difference via an automatic sensor, and based at least in part on the situational difference, a program played on a media player is modified. In some cases, the methods further include accessing a filter that compares the change in situational difference with a predefined access control rule set. As just some of many examples, the situational difference may include a change in persons within proximity of the media player and/or a change in programming selection in relation to the media player.