Automated Vehicle Underbody Imaging for Timely Defect Detection
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Solution Overview
Problem
Drivers often fail to notice abnormalities in critical vehicle underbody components such as the chassis and tires, leading to potential safety hazards due to wear, corrosion, or deformities that are not easily detected in a timely manner.
Innovation Solution
A detection system comprising bottom and side collecting modules, processing modules, and triggering modules that capture underbody images of vehicles as they enter and exit locations like petrol stations, using cameras and infrared sensors to identify abnormalities by comparing with predefined models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drivers manually inspect vehicle underbody components, then detection accuracy may be improved, but detection time and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated detection system comprising image collecting modules that capture underbody images, processing modules that analyze the images, and triggering modules that alert drivers. This substitution eliminates the need for drivers to manually inspect complex underbody components while significantly reducing detection time through automated image processing and comparison with predefined models.
Solution Approach 2:
The system creates digital copies (images) of the vehicle underbody components and compares them against predefined models to detect abnormalities. This copying approach allows for rapid, repeated inspections without physical contact with the vehicle, enabling frequent detections that would be impractical through manual inspection.
2Reliability
If drivers frequently inspect vehicle underbody, then safety hazards can be detected earlier, but inspection complexity and difficulty increase
Solution Approach 1:
The patent replaces complex manual inspection procedures with an automated system that handles the complexity of capturing, processing, and analyzing underbody images. The processing module automatically compares captured images with predefined models to identify abnormalities, eliminating the need for drivers to develop complex inspection methodologies while maintaining high detection reliability.
Solution Approach 2:
The system introduces an intermediary processing module that acts as a mediator between the image collecting module and the driver. This intermediary automatically analyzes the captured images, compares them with predefined models, and generates alerts only when abnormalities are detected, simplifying the overall inspection process for drivers while maintaining high reliability through automated analysis.
3Ease of operation
If manual inspection of vehicle underbody is performed, then driver control over the process remains simple, but detection timeliness and frequency are limited
Solution Approach 1:
The detection system performs self-service by automatically capturing, processing, and analyzing underbody images without requiring driver intervention. The system autonomously compares captured images with predefined models and generates alerts when abnormalities are detected, enabling frequent detections while keeping the driver's role simple - merely receiving alerts when issues are found.
Solution Approach 2:
The system enables continuous detection by automatically capturing images at multiple points (e.g., when vehicle enters and exits petrol stations) without requiring discontinuous manual inspection. This continuous operation increases detection frequency while maintaining ease of operation, as the system handles all inspection tasks autonomously without demanding driver time or effort.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances detection frequency and timeliness of underbody issues, allowing drivers to address them promptly, thereby preventing safety hazards.
Implementation Method 1
using cameras and infrared sensors to identify abnormalities
Implementation Method 2
using cameras and infrared sensors to identify abnormalities
Data Source
AI summary
A detection system includes at least one bottom collecting module disposed on a ground. The bottom collecting module is configured to face to an underbody of the vehicle and collect an underbody image of the vehicle. A processing module is configured to determine whether the underbody of the vehicle is in an abnormal state based on the underbody image of the vehicle. When the vehicle drives through the bottom collecting module, the bottom collecting module facing to the underbody of the vehicle collects the underbody image of the vehicle. A detection frequency of the underbody of the vehicle is increased, a detection time of the underbody of the vehicle is saved, and a driver may notice the abnormal of the underbody of the vehicle in time, and a safety hazard is avoided.