Computer Vision Vehicle Comfort Profile Adjustment
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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 to detect occupants, analyze their characteristics, and adjust vehicle components such as seat positions, mirror angles, and temperature settings based on pre-defined comfort profiles, utilizing facial recognition and fleet learning to gather statistics on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration of vehicle components is implemented for each user, then comfort settings can be customized for individual body types, but the time and effort required for re-configuration increases significantly
Solution Approach 1:
The system performs preliminary actions by capturing video frames of users and automatically determining comfort profiles in advance. The processor analyzes video data to identify user characteristics and pre-configures vehicle components (seat position, mirror angles, temperature) before the user enters the vehicle, eliminating the need for manual re-configuration each time the vehicle is used.
Solution Approach 2:
The patent replaces the manual mechanical adjustment system with an automated computer vision-based system. Instead of users physically adjusting seats, mirrors, and climate controls, the system uses video frame analysis and automated control mechanisms to adjust these components based on detected user characteristics, substituting human action with automated optical and mechanical systems.
2Loss of time
If automated computer vision system is implemented to detect users and adjust vehicle components, then re-configuration time is reduced, but the device complexity increases
Solution Approach 1:
The system employs a multi-functional approach where a single integrated processor performs multiple tasks: detecting users in video frames, analyzing user characteristics, determining comfort profiles, and controlling various vehicle components (seats, mirrors, climate control). This universal system replaces what would otherwise require multiple separate devices and manual operations, managing complexity through consolidation rather than proliferation of components.
3Adaptability or versatility
If video frame analysis is used to determine user characteristics, then automatic comfort profile creation is enabled, but processing requirements and computational load increase
Solution Approach 1:
The system applies partial action by selectively analyzing specific features in video frames that are most relevant for determining user characteristics (such as body size, posture, and position) rather than processing every pixel or feature. The processor focuses computational resources on extracting only the necessary information from video frames to create comfort profiles, avoiding excessive processing of irrelevant data and thereby reducing energy consumption.
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.