Human Feature Detection for Automatic Content Control
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Solution Overview
Problem
Existing electronic devices lack the ability to automatically control content output based on human recognition data, requiring manual user intervention to manage content presentation according to surroundings, such as stopping adult-rated content when children enter the room.
Innovation Solution
An electronic device equipped with sensors to detect human feature data and a processor that defines and enforces rules for content output, allowing automatic control of content presentation based on detected conditions, such as the presence of specific individuals or age groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual user intervention is used to control content output, then user control over content presentation is achieved, but user convenience and automation are reduced
Solution Approach 1:
The system enables self-service by automatically detecting human presence through sensors and autonomously controlling content output based on predefined rules, eliminating the need for continuous manual user intervention while maintaining appropriate content presentation
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring sensor data regarding human presence and automatically adjusting content output accordingly, creating a closed-loop control system that responds dynamically to environmental conditions without manual input
2Reliability
If sensors continuously detect human presence to enable automatic control, then content appropriateness is improved, but energy consumption and device complexity increase
Solution Approach 1:
The system employs periodic sensing and rule evaluation rather than continuous operation, activating sensors and processing rules at intervals or triggered by specific events, which maintains reliable content presentation while significantly reducing energy consumption compared to continuous monitoring
3Measurement precision
If multiple sensors and rules are implemented for comprehensive human recognition, then content control accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the content control function into distinct modular components: sensor modules for detecting different human features, rule modules for evaluating specific conditions, and action modules for executing content control decisions. This modular architecture improves detection accuracy through specialized sensors while managing complexity through clear separation of concerns and independent, interchangeable components
Data Source
AI summary
Systems and methods for controlling output of content based on human recognition data captured by one or more sensors of an electronic device are provided. The control of the output of particular content may be based on an action of a rule defined for the particular content, and may be performed when at least one human feature detection related condition of the rule is satisfied. In some embodiments, the action may include granting access to requested content when detected human feature data satisfies at least one human feature detection related condition of a rule defined for the requested content. In other embodiments the action may include altering a presentation of content, during the presentation of the content, when detected human feature data satisfies at least one human feature detection related condition of a rule defined for the presented content.