Face Recognition TV Program Selection System
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Solution Overview
Problem
Users face difficulty in selecting preferred television programs due to the increasing number of available options and the need for manual input of keywords, as existing systems fail to recognize individual users' preferences.
Innovation Solution
A television program selection system that uses face recognition technology to capture user images, match them with stored face data, and recommend or record programs based on associated preference data, eliminating the need for manual keyword input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual keyword input is required for program selection, then program selection functionality is achieved, but user convenience deteriorates due to preliminary input requirements
Solution Approach 1:
The system performs automatic user identification through face recognition and automatically selects programs based on stored preferences, eliminating the need for manual keyword input. The television system serves itself by autonomously completing the program selection process.
Solution Approach 2:
User preferences and face data are stored in advance in the system. When a user approaches the television, the system retrieves pre-stored preference data associated with the recognized face and immediately uses it for program selection, avoiding real-time manual input.
2Adaptability or versatility
If the system does not recognize individual users, then device complexity is reduced, but program selection personalization deteriorates
Solution Approach 1:
Face recognition technology serves as an intermediary mechanism that bridges the gap between simple device operation and personalized service. The camera and face recognition system act as mediators to identify users and retrieve their preferences without requiring complex user registration or manual configuration.
3Adaptability or versatility
If face recognition is implemented for user identification, then program selection personalization is improved, but device complexity increases due to additional hardware and processing requirements
Solution Approach 1:
The television system integrates multiple functions into a unified system: the camera serves both for general interface interactions and for face recognition, the processor handles both regular program guide operations and face recognition processing, and the storage system manages both program data and user preference data. This multi-functionality reduces the need for separate dedicated components.
Data Source
AI summary
The present invention relates to a television program selection system, a recommendation method for recommending a selected television program and a recording method for recording a selected television program. Therefore, in a storage face data of one or more users and preference data associated to the face data are stored, wherein said preference data indicating preferences of the user. A camera captures an image of a user. A recommendation device then searches the attribute data of television programs currently available and selects in case that the captured image corresponds to one of the stored face data at least one television program having attribute data matching the associated stored preference data for display, recommendation, recording or other processes.