Vehicle Settings Adjustment via Biometric Sensor Matching
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Solution Overview
Problem
Vehicles require frequent manual adjustments of settings by multiple users or individuals with varying physical characteristics and attire, leading to cumbersome operations and potential safety risks due to improper settings.
Innovation Solution
A computer-implemented method and system that collect sensor data from individuals to match characteristics to templates, automatically adjusting vehicle settings such as seat, lighting, and climate controls, using image, audio, and biometric data to dynamically determine and activate suitable settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments of vehicle settings are made by multiple users, then each user can have personalized settings, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically detects the user through sensor data (facial recognition, biometric sensors) and autonomously applies the corresponding vehicle settings without requiring manual user intervention. The vehicle serves itself by matching detected characteristics to stored templates and activating the associated settings profile.
Solution Approach 2:
User preferences and settings are pre-configured and stored in the system before the user arrives. When the user is detected, the pre-stored settings are automatically retrieved and applied, eliminating the need for real-time manual adjustment.
2Adaptability or versatility
If manual adjustments are made frequently by different users, then settings can be customized, but the risk of improper settings and safety issues increases
Solution Approach 1:
The system automatically ensures proper settings are applied by detecting the user and autonomously activating the correct pre-configured settings profile, eliminating human error in setting selection and application.
Solution Approach 2:
The system provides visual confirmation to the user that the correct settings have been applied, creating a feedback loop that ensures the settings are properly activated and reduces the likelihood of improper configuration.
3Ease of operation
If automated sensor-based adjustment is implemented, then manual adjustments are reduced and safety is improved, but the device complexity increases
Solution Approach 1:
Existing vehicle sensors (cameras, biometric sensors, microphones) are repurposed for user detection and settings automation, rather than requiring entirely new specialized hardware. The system performs multiple functions using the same sensor infrastructure.
Solution Approach 2:
The system uses template matching where sensor data is compared against pre-stored characteristic templates. This copying approach allows the system to identify users through pattern recognition rather than requiring complex real-time analysis algorithms.
Data Source
AI summary
Aspects of the present disclosure relate to adjustment of vehicle settings based on sensor data. Sensor data of an individual can be collected. The sensor data can be matched to a template. A set of vehicle settings associated with the template can be determined. The set of vehicle settings can then be activated within a vehicle.