Digital Side Mirror Control Using Facial Recognition Feedback
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Solution Overview
Problem
Digital side mirrors can feel unfamiliar to users, reducing usability due to fixed screens that do not adjust with head movements, unlike conventional side mirrors.
Innovation Solution
A facial recognition system adjusts side mirror settings based on detected facial movements and attributes, including position changes, to provide a natural viewing experience without additional operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If digital side mirrors use a fixed screen display, then the screen clarity and viewing angle are improved, but the usability and familiarity for users are reduced
Solution Approach 1:
The patent applies dynamics by making the digital side mirror screen adjustable and responsive to user head movements. The screen position and orientation change dynamically based on detected facial attributes, transforming the fixed screen into a dynamic display that adapts to user positioning, thereby maintaining screen clarity while improving usability and familiarity.
2Area of stationary object
If digital side mirrors provide wider viewing angle, then the viewing coverage is improved, but the user familiarity and natural interaction are reduced
Solution Approach 1:
The patent implements feedback by using cameras and sensors to detect user head position and facial attributes, then adjusting the screen display accordingly. This closed-loop feedback system allows the digital side mirror to respond to user movements, providing wide viewing coverage while maintaining natural interaction patterns that users are familiar with from conventional mirrors.
Solution Approach 2:
The system applies self-service by automatically adjusting the screen position and orientation based on detected facial attributes without requiring manual user input. The digital side mirror serves itself by detecting head movements and autonomously repositioning the display, thereby providing wide viewing coverage while maintaining user familiarity through natural, automatic adaptation.
3Measurement precision
If facial recognition system detects detailed face attributes, then the control precision is improved, but the system complexity increases
Solution Approach 1:
The patent replaces complex mechanical adjustment systems with facial recognition-based control. Instead of mechanical linkages and manual adjustment mechanisms, the system uses AI models and image processing to detect facial attributes and automatically control screen positioning, achieving high control precision while reducing mechanical complexity through software-based solutions.
Data Source
AI summary
A facial recognition based digital side mirror control device includes a multi-spectral-based face detection module that detects the face of a driver in a vehicle, a face attribute detection module that detects a face attribute including the position and feature of the face and driver information on the basis of the detected face, using an artificial intelligence model, a module for determining whether a motion has been made that detects whether the driver is looking at a side mirror, and executes an algorithm only when it is determined that the driver is looking at the side mirror, and a side mirror adjustment module that adjusts the viewing angle of the side mirror on the basis of a change value whenever the face attribute including the position of the face of the driver looking at the side mirror changes.