Vehicle Screen Privacy Mode via Occupant Detection
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Solution Overview
Problem
Ensuring the safety and security of information in vehicles while optimizing technical operations is challenging, particularly in ensuring unauthorized access is prevented, especially with increasing audio and visual displays for users.
Innovation Solution
A computing platform that uses driver and passenger sensor data, facial recognition, and voice recognition to determine identities and activate privacy modes, obscuring information on vehicle screens based on occupant identities and locations, and adjusting privacy settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If information is displayed on vehicle screens for user access, then information accessibility is improved, but unauthorized access risk increases
Solution Approach 1:
The system dynamically adjusts privacy settings based on real-time detection of vehicle occupants. When occupants are detected, the system automatically switches between private and public modes, making the privacy protection adaptive rather than static. This resolves the contradiction by allowing full information access when alone (improving ease of operation) while automatically restricting access when others are present (reducing unauthorized access risk).
Solution Approach 2:
The system uses sensors to continuously monitor vehicle occupancy and provides feedback to the display system. This feedback loop enables the system to automatically adjust information visibility based on detected conditions, resolving the contradiction between accessibility and security by making the system responsive to environmental factors rather than requiring manual user intervention.
2Reliability
If privacy settings are automatically adjusted based on occupant detection, then unauthorized access prevention is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting occupants and adjusting privacy settings without requiring user configuration or intervention. The sensors continuously monitor the environment and the system autonomously switches between privacy modes, reducing the need for complex user interfaces and manual setup while maintaining reliable security.
Solution Approach 2:
The system integrates multiple functions into a single automated process: occupancy detection, identity recognition, privacy mode selection, and display adjustment all occur automatically. This multi-functionality reduces the need for separate systems and complex user interactions, achieving reliable unauthorized access prevention without proportionally increasing overall system complexity.
3Measurement precision
If multiple identification techniques are implemented, then security accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring the vehicle environment with sensors even before specific privacy decisions are needed. Occupant detection and basic identification occur in the background, so when privacy mode changes are required, the system already has the necessary information readily available, reducing processing time while maintaining high accuracy through multiple identification techniques.
Data Source
AI summary
A vehicle computing platform may receive driver sensor data indicating whether a driver seat in a vehicle is occupied. The vehicle computing platform may determine, based on the driver sensor data, an identity of a driver of the vehicle. The vehicle computing platform may receive passenger sensor data indicating whether a passenger seat in the vehicle is occupied. The vehicle computing platform may, based on the passenger sensor data indicating that the passenger seat in the vehicle is occupied, obscure information on a screen of the vehicle.