Vehicle Occupant Data Processing for Camera-Based Preference Selection
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Solution Overview
Problem
Existing vehicle systems struggle to intuitively adjust settings to match user preferences and mood, leading to potential safety risks and user inconvenience as more controls become available.
Innovation Solution
A system that processes vehicle occupant data, including clothing characteristics, to build a profile and select preferences, adjusting vehicle settings proactively based on learned occupant characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If more vehicle controls and settings are made available to users, then user customization capability is improved, but ease of operation deteriorates as users find it more arduous to select preferences
Solution Approach 1:
The system automatically detects occupant characteristics through camera imaging and autonomously selects appropriate vehicle settings and preferences. This eliminates the need for users to manually navigate through numerous controls, while still providing extensive customization capability. The system serves itself by making intelligent decisions based on detected characteristics such as clothing color, age group, and other visual cues.
2Adaptability or versatility
If vehicle settings are adjusted to match user preferences, then user experience is improved, but safety risks increase when aggressive settings are selected based on incorrect mood detection
Solution Approach 1:
The system continuously monitors occupant characteristics and vehicle settings, creating a feedback loop that allows for real-time adjustment. By detecting changes in occupant appearance, mood indicators, and contextual factors through camera imaging, the system can adjust settings dynamically while maintaining safety through ongoing verification of appropriate configurations.
3Ease of operation
If manual preference selection is required, then precise control over settings is achieved, but user distraction and safety risks increase
Solution Approach 1:
The system automatically detects occupant characteristics and selects preferences without requiring user interaction. This eliminates distraction while maintaining precise control over vehicle settings. The system serves itself by making intelligent decisions based on detected characteristics such as clothing color, age group, and other visual cues from camera imaging.
Data Source
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AI summary
System for processing vehicle occupant data, the system comprising a plurality of vehicle inputs (106) for receiving information associated with the vehicle (102), wherein at least one of the plurality of vehicle inputs (106) includes an input from an interior cabin camera (108); a controller (110) for processing the vehicle information. The controller (110) includes a characteristic determination block for determining occupant characteristics associated with a vehicle occupant (104), wherein the one or more occupant characteristics include one or more clothing characteristics determined by processing images from the interior cabin camera (108). An occupant profile block builds an occupant profile based on determined occupant characteristics, and a preference selection block selects an occupant preference.