Content Playback Apparatus User Recognition and Age-Based Filtering
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Solution Overview
Problem
Existing content playback systems fail to effectively manage and control content viewing for multiple users with varying age and preference criteria, leading to exposure to inappropriate material.
Innovation Solution
A content playback apparatus that recognizes users based on facial, vocal, and body shape analysis, selects the youngest user, and controls playback by comparing their age to content ratings, restricting inappropriate content and providing personalized preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is played without user-based control, then content playback is simple and fast, but inappropriate content may be exposed to users based on age and preference criteria
Solution Approach 1:
The system automatically identifies users through facial recognition and age estimation, then autonomously selects appropriate content based on their characteristics without requiring manual input or configuration from users or operators
Solution Approach 2:
The system pre-establishes age-based content filtering rules and user identification mechanisms before playback occurs, enabling automatic content selection and restriction based on user demographics without real-time intervention
2Adaptability or versatility
If user-based content control is implemented, then content appropriateness is improved, but system complexity increases due to user identification and selection mechanisms
Solution Approach 1:
The system replaces manual user input and configuration mechanisms with automated facial recognition and age estimation algorithms, eliminating the need for users to manually set preferences or provide demographic information
Solution Approach 2:
The system uses age as a key parameter to automatically adjust content selection and filtering, transforming the complex task of personalized content recommendation into a straightforward age-based parameter-driven process
3Reliability
If automated user recognition and age-based content selection is implemented, then content filtering reliability is improved, but measurement and detection difficulty increases due to facial recognition and age estimation requirements
Solution Approach 1:
The system uses facial recognition technology to create a digital copy or representation of the user's face, then compares this copy against stored reference data to identify the user and estimate their age, simplifying the complex measurement process
Data Source
AI summary
An example content playing apparatus includes an output unit configured to output an image and voice; a user recognition unit configured to recognize a plurality of users viewing content played by the output unit; and a controller configured to select at least one of the plurality of users based on predetermined criteria and control playing of the content according to the at least one selected user.


