Vehicle Driver Verification via Profile Comparison
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Solution Overview
Problem
Modern vehicles lack the ability to seamlessly tailor settings to the current driver, leading to inefficient customization and requiring frequent manual adjustments due to changing driver preferences.
Innovation Solution
A system that examines and compares vehicle settings to stored driver profiles to verify the primary driver, allowing for automatic adjustment of settings such as seat position, climate control, and radio presets based on registered preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments of vehicle settings are required for each driver, then customization flexibility is maintained, but driver time and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-storing multiple driver profiles with their preferred vehicle settings before the driver needs them. When a driver enters the vehicle, the system automatically retrieves and applies the appropriate profile, eliminating the need for manual adjustments at the moment of entry.
Solution Approach 2:
The system enables self-service by automatically detecting the current driver (through various methods such as key fob recognition, facial recognition, or seat sensors) and autonomously adjusting vehicle settings without requiring the driver to manually configure each parameter. The system serves itself by managing the customization process independently.
2Ease of operation
If vehicle settings are customized for each driver, then driving experience is enhanced, but system complexity increases
Solution Approach 1:
The system divides the driver population into discrete segments by creating separate, identifiable driver profiles. Each profile is an independent unit containing specific setting preferences, allowing the system to manage complexity through modular organization rather than attempting to handle all customizations as a single complex system.
Solution Approach 2:
The system creates simplified copies of driver preferences through standardized profile templates. Instead of managing complex individual configurations, the system uses replicated profile structures that can be easily stored, retrieved, and applied, reducing the cognitive and computational complexity of handling customizations.
3Adaptability or versatility
If frequent updates of vehicle settings are made to match changing driver preferences, then adaptability improves, but operational time and energy consumption increase
Solution Approach 1:
The system implements periodic action by updating vehicle settings only at specific intervals - namely, when a driver enters the vehicle or when a profile is explicitly modified. Between these periodic events, the settings remain stable, avoiding continuous energy-consuming adjustments while maintaining adaptability when needed.
Solution Approach 2:
The system performs preliminary action by pre-configuring driver profiles with their preferred settings in advance. This allows the system to apply settings efficiently in bulk when switching between drivers, rather than making numerous small adjustments individually, thereby reducing overall energy consumption.
Data Source
AI summary
A system includes a processor configured to examine one or more vehicle settings having been changed after a driver enters a vehicle. Also, the processor is configured to compare the examined settings to settings associated with currently stored driver profiles and verify the driver as a previously stored primary vehicle driver based at least in part on the comparison.