Multi-Sensor Array for Automated Vehicle Condition Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle inspection methods rely heavily on human judgment, leading to inconsistencies and biases, and have not evolved to leverage advances in artificial intelligence and computer vision, resulting in inefficiencies and increased overhead in industries like rental car management and used vehicle valuation.
Innovation Solution
A system utilizing a configurable multi-sensor array that can pass over or have objects drive through it, combining sensor data with machine learning and AI to generate objective condition reports, including a modular backend process and user interface for various applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human inspection methods are used for vehicle condition assessment, then flexibility in judgment is maintained, but consistency and objectivity deteriorate due to human error and bias
Solution Approach 1:
The patent replaces the mechanical human inspection system with an automated multi-sensor array system. Sensors including cameras, LIDAR, and other detection devices automatically capture vehicle condition data, eliminating human bias and inconsistency while maintaining comprehensive assessment capability through automated image processing and analysis algorithms.
Solution Approach 2:
The vehicle inspection system performs self-assessment through automated sensors and processing systems. The multi-sensor array independently captures, processes, and analyzes vehicle condition without requiring human inspectors, enabling the system to serve itself in the assessment process and produce consistent, objective results.
2Productivity
If traditional walk-around inspection methods are used, then simplicity of the process is maintained, but productivity deteriorates due to significant overhead and friction in rental and return processes
Solution Approach 1:
The inspection system is divided into modular sensor components including cameras, LIDAR units, and other detection devices arranged in a multi-sensor array. Each sensor type captures specific aspects of vehicle condition, and the segmented data is processed separately before being integrated into a comprehensive assessment, enabling parallel processing and increased throughput.
Solution Approach 2:
The multi-sensor array system is designed to handle multiple inspection scenarios and vehicle types through a single unified platform. The same sensor array can assess different vehicles, perform various types of inspections (exterior, interior, mechanical), and adapt to different inspection protocols, eliminating the need for multiple specialized inspection systems.
3Adaptability or versatility
If OBD-based diagnostics are used, then access to internal vehicle sensor data is provided, but the system fails to leverage advances in AI and computer vision for comprehensive assessment
Solution Approach 1:
The patent merges OBD internal sensor data with external multi-sensor array data (cameras, LIDAR) to create a comprehensive vehicle assessment system. The system combines traditional OBD diagnostics with advanced computer vision and AI processing, integrating multiple data sources to provide both internal mechanical status and external condition assessment, thereby eliminating information loss and enhancing versatility.
Solution Approach 2:
The system implements feedback loops where sensor data is continuously processed, analyzed, and used to update vehicle condition assessments. AI algorithms analyze sensor patterns over time, provide feedback on vehicle degradation trends, and automatically adjust assessment criteria, enabling the system to adapt to changing vehicle conditions and improve assessment accuracy dynamically.
Data Source
AI summary
In various embodiments, an object or vehicle's state, value, diagnostics and/or other condition are obtained from a configurable multi-sensor array. In some cases, the object drives through the sensor array. In some cases, the sensors pass over or by the object. A report is generated on the object's condition. A variety of sensor data are amalgamated into a report via a configurable backend process. A user interface allows for interaction with the ability to interface with components in the system.