User Recognition Engine for Automatic Display Position Adjustment
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Solution Overview
Problem
Users of shared electronic devices, such as computers and televisions, face inefficiencies in adjusting display settings to personal preferences, requiring manual adjustments and wasting time when multiple users need to access the device.
Innovation Solution
Implementing a system that uses user recognition techniques, such as facial recognition, to automatically set display positions, including height and viewing angles, based on pre-registered user information stored in a database, allowing for quick and personalized settings adaptation without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of display settings is required for each user, then personalized display experiences can be achieved, but time and labor are wasted when multiple users need to access the device
Solution Approach 1:
The system performs preliminary actions by capturing user biometric data (facial features, voice patterns, or fingerprints) and storing them in a database during initial setup. When a user accesses the device, the pre-stored biometric templates enable automatic identification and retrieval of personalized display settings without requiring manual adjustment at the moment of use, thus resolving the time loss contradiction
Solution Approach 2:
The system enables self-service by automatically detecting the user through biometric recognition and autonomously applying the appropriate display settings from the database. The electronic device serves itself by retrieving and configuring settings based on user identity without requiring manual intervention, thereby eliminating the time and labor waste associated with manual adjustments while maintaining personalized experiences
2Ease of operation
If display settings are manually adjusted for each user, then individual preferences can be accommodated, but the process requires user intervention and reduces efficiency
Solution Approach 1:
The system replaces the mechanical manual adjustment process with an automated biometric recognition system. Instead of requiring physical interaction to adjust display settings, the system uses optical (facial recognition), acoustic (voice recognition), or electromagnetic (fingerprint sensing) fields to identify users and automatically apply settings, thereby improving ease of operation while the added complexity is justified by the significant gain in user convenience
Data Source
AI summary
In one example, an electronic device is described, which includes a position activator, a database including display positions associated with a plurality of users, and a processor coupled to the position activator and the database. The processor may retrieve a display position corresponding to a user operating the electronic device from the database and trigger the position activator to set a viewing position of a display of the electronic device based on the retrieved display position.


