Vehicle Component Adjustment Using Interior Image Analysis
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Solution Overview
Problem
Vehicles often operate with components configured for a single individual, failing to accommodate varying physical dimensions of multiple users, leading to suboptimal positioning and potential safety risks due to manual adjustments.
Innovation Solution
Implementing image analysis systems to capture and analyze interior vehicle images, determining individual positioning, and automatically adjusting vehicle components to optimized configurations based on user dimensions and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle components are configured for a single individual, then the configuration is simple and fixed, but it fails to accommodate varying physical dimensions of multiple users leading to suboptimal positioning
Solution Approach 1:
The system automatically detects the individual's positioning and autonomously adjusts vehicle components without requiring manual intervention. The image sensor captures images, the processor analyzes positioning, and actuators automatically adjust components, enabling the system to serve itself and eliminate the need for user interaction.
Solution Approach 2:
The patent replaces manual mechanical adjustment with an automated system using image sensors, computer vision algorithms, and electronic actuators. This substitution of mechanical user interaction with automated detection and control systems resolves the contradiction by providing adaptability through technology rather than through complex mechanical configurations.
2Ease of operation
If manual adjustments are made by individuals, then components can be customized to individual preferences, but it is tedious and can be a safety risk
Solution Approach 1:
The system performs component adjustments automatically before the individual begins operating the vehicle or during periods when adjustment is safe. By detecting positioning in advance and pre-adjusting components, the system eliminates the need for manual adjustment during operation, thereby improving safety while maintaining ease of operation.
Solution Approach 2:
The automated adjustment system performs all configuration tasks without requiring user interaction, making the process both safe (no manual intervention needed) and convenient (automatic customization). The system serves itself by detecting, analyzing, and adjusting all components autonomously.
3Reliability
If image analysis is used to automatically adjust vehicle components, then safety and comfort are enhanced, but the system complexity increases
Solution Approach 1:
The image sensor and processor are designed to perform multiple functions: capturing images, analyzing positioning, identifying individuals, and controlling multiple different vehicle components. By making these components multi-functional, the system achieves high reliability through comprehensive automation while limiting the increase in overall system complexity through functional integration.
Solution Approach 2:
The processor acts as an intermediary that receives image data from the image sensor, analyzes positioning information, determines appropriate adjustments, and sends control signals to actuators. This intermediary layer coordinates all subsystems, managing complexity while enabling the safety-enhancing automatic adjustment functionality.
Data Source
AI summary
Systems and methods for using image analysis techniques to facilitate adjustments to vehicle components are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle, and in particular determine a positioning of the individual(s) within the vehicle. Based on the positioning, the computing device may determine how to adjust a vehicle component(s) to its optimal configuration, and may facilitate adjustment of the vehicle component(s) accordingly.