Replay Device User Recognition and Source Selection
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Solution Overview
Problem
Existing television systems require pre-input of program data to tailor content to user preferences, lacking the ability to automatically select replay sources based on recognized users.
Innovation Solution
A replay device with user recognition capabilities that automatically selects replay sources, including images and music, by recognizing users through photographic images, allowing for personalized content presentation without prior input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If program data is inputted in advance into the television receiver, then the system can recognize user preferences and tune preferred programs, but the operation becomes complex and requires prior user intervention
Solution Approach 1:
The system performs preliminary actions by automatically capturing photographic images of users with a camera, extracting facial images, and storing them in advance. This preliminary user recognition setup eliminates the need for users to manually input program data later, as the system proactively gathers and processes user information beforehand to enable automatic content selection
Solution Approach 2:
The television system serves itself by automatically selecting and replaying content based on recognized user identities without requiring manual user input. The system independently performs user recognition, identifies preferred content, and executes replay operations autonomously, transforming from a passive device requiring user configuration to an active system that self-adapts to user preferences
2Ease of operation
If the system automatically selects replay sources based on user recognition, then user intervention is eliminated, but the device complexity increases due to additional recognition and selection mechanisms
Solution Approach 1:
The television system integrates multiple functions into a unified architecture: the camera serves both for user recognition and content documentation, the control unit performs both image processing and content selection, and the replay mechanism handles both standard content and user-specific content. This multi-functionality reduces the need for separate dedicated components, managing complexity through functional consolidation
Solution Approach 2:
The system introduces a camera as an intermediary device that captures user images, which then serve as the basis for automatic recognition and content selection. This intermediary mechanism translates physical user presence into digital information that the control unit can process, creating a natural bridge between user interaction and automated system response without requiring complex direct interface hardware
3Adaptability or versatility
If photographic images are used for user recognition, then personalized content can be selected, but privacy concerns arise from image storage and processing
Solution Approach 1:
The system extracts only the essential facial features from complete photographic images for recognition purposes. By isolating and processing only the facial portion rather than storing entire images, the system minimizes the amount of personal data retained while maintaining sufficient information for accurate user identification and personalized content selection
Solution Approach 2:
The system temporarily captures photographic images for user recognition, extracts the necessary identification information, and then discards the original images. This approach allows the system to recover useful user identity data while eliminating privacy risks associated with prolonged image storage, implementing a capture-process-delete cycle that balances personalization with privacy protection
Data Source
AI summary
A replay device includes: a user recognition unit that performs user recognition processing; and a replay source selection unit that chooses a replay source, from among a plurality of replay sources, according to a user recognized by the user recognition unit.