Vehicle Comfort Profiles Using Computer Vision for Shared Drivers
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Solution Overview
Problem
Vehicle owners face challenges in configuring comfort settings for varying body sizes and preferences, requiring frequent adjustments when sharing vehicles, which can be difficult and inconvenient, especially for users with different heights.
Innovation Solution
A system using computer vision with interior cameras and processors to detect user characteristics, generate comfort profiles, and adjust vehicle components such as seats, mirrors, and temperature settings automatically, leveraging facial recognition and fleet learning to pre-configure settings for incoming users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration of vehicle components is used, then users can customize settings for their body type, but it requires frequent adjustments when different users share the vehicle
Solution Approach 1:
The system performs preliminary action by detecting user characteristics (height, body type) through computer vision before the user needs to configure anything. Comfort profiles are pre-calculated and stored based on these detected characteristics, so when a user enters the vehicle, the system can quickly retrieve and apply the appropriate pre-configured settings without requiring manual adjustment.
Solution Approach 2:
The system creates copies of comfort settings based on detected user characteristics. Instead of manually configuring each setting, the system generates a comfort profile copy that replicates the optimal configuration for that user's body type, enabling rapid deployment of personalized settings without repeating the configuration process.
2Adaptability or versatility
If multiple comfort profiles are stored for different users, then personalized settings can be provided, but the system complexity increases
Solution Approach 1:
The system replaces manual mechanical configuration with automated computer vision-based detection and profile management. Instead of users physically adjusting components, the system uses cameras to detect user characteristics and automatically applies the appropriate comfort profile, reducing the perceived complexity for users while maintaining personalization capability.
Solution Approach 2:
The system manages complexity by organizing comfort profiles based on key physical parameters (height, body type) detected through computer vision. Rather than storing separate profiles for every possible user, the system groups settings by parameter ranges, allowing it to handle personalization needs while maintaining a manageable profile structure.
3Ease of operation
If automatic adjustment of vehicle components is implemented, then user convenience is improved, but the device complexity increases
Solution Approach 1:
The system enables self-service by automatically detecting user characteristics and applying the appropriate comfort profile without user intervention. The vehicle system serves itself by retrieving and applying pre-configured settings based on detected user parameters, eliminating the need for users to manually adjust components while providing personalized comfort.
Solution Approach 2:
The system achieves universality by creating a multi-functional comfort management system that handles multiple vehicle components (seats, mirrors, climate control) through a single automated process. One comfort profile can simultaneously control multiple vehicle systems, reducing the overall complexity compared to separate control systems for each component.
Data Source
AI summary
An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to users of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect users of the vehicle based on the objects detected in the video frames, determine a comfort profile for the users and select a reaction to adjust vehicle components according to the comfort profile of the detected users. The comfort profile may be determined in response to characteristics of the users. The characteristics of the users may be determined by performing the operations on each of the users.