Vehicle Control Unit Personalizing Settings via Facial Recognition
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Solution Overview
Problem
Users of shared vehicles often face challenges in adjusting settings to fit their personal preferences, especially when unfamiliar with the vehicle's configurations, leading to time-consuming modifications.
Innovation Solution
A vehicle configuration system that uses a storage unit, inference module, and control unit to dynamically apply settings based on real-time personal attributes, such as gender, age, and emotional state, inferred from facial descriptors, to modify devices like the instrument cluster and infotainment system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually adjust vehicle settings to fit their preferences, then personalization is achieved, but time consumption increases
Solution Approach 1:
The system automatically detects user presence via facial recognition and autonomously applies personalized configurations without requiring manual user input. The control unit retrieves stored configuration data matching the detected user and automatically adjusts device settings, enabling the system to serve itself in the personalization process.
Solution Approach 2:
User configurations are pre-stored in the storage unit during initial system setup or previous usage sessions. When a user enters the vehicle, the system retrieves these pre-prepared configurations and applies them automatically, eliminating the need for real-time manual adjustment and reducing time consumption.
2Adaptability or versatility
If multiple user configurations are stored for different personal attributes, then adaptability improves, but system complexity increases
Solution Approach 1:
The control unit performs multiple functions: it detects user presence via facial recognition, extracts facial descriptors, queries the storage unit for matching configurations, and applies the retrieved settings. This multi-functional approach consolidates what could be separate complex systems into a single integrated control unit, managing adaptability without proportionally increasing overall system complexity.
Solution Approach 2:
Instead of creating entirely new configuration systems for each user attribute, the system creates and stores configuration copies in the storage unit. Each user's preferences are saved as a reusable template that can be quickly retrieved and applied, reducing the need for complex real-time generation logic and simplifying the system architecture.
3Speed
If real-time facial recognition is implemented, then personalization speed improves, but processing requirements increase
Solution Approach 1:
The system focuses facial recognition processing only on relevant facial features and descriptors necessary for user identification, rather than analyzing the entire image or performing exhaustive processing. By concentrating computational resources on essential local characteristics, the system achieves fast personalization while minimizing energy consumption.
Data Source
AI summary
A system provided for configuring settings of a device installed in a vehicle based on a user's personal attributes. The system includes an inference module that dynamically gathers one or more personal attributes of the user, and a control unit that applies a configuration to the device based on the personal attributes.