Automated Vehicle Damage Detection Using Grid Pattern Deflectometry
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Solution Overview
Problem
Existing systems for detecting and classifying vehicle damages, such as dents caused by hail, are inefficient due to manual processes, inaccuracy, and the inability to handle diverse vehicle shapes and sizes, especially during mobile and rapid assessments like those required during hailstorms.
Innovation Solution
A mobile, automated apparatus with a support structure that projects a grid pattern, uses speed and distance measurement, and high-resolution cameras to capture moving images, processing the pattern reflections to count and classify damages without human intervention, capable of handling various vehicle shapes and sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual visual inspection is used by insurance experts, then damage detection can be performed with simple equipment, but the detection speed is slow and productivity is low
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical measurement system using deflectometry. The system uses a projector to display patterns on the vehicle surface and cameras to capture reflected patterns, automatically detecting damages without human intervention. This substitution dramatically increases detection speed while maintaining accuracy.
Solution Approach 2:
The system enables self-service damage detection by allowing the vehicle to be inspected while moving through the apparatus. The integrated measurement and processing system automatically performs detection, counting, and localization of damages without requiring stationary positioning or manual operation, making the process efficient and self-contained.
2Measurement precision
If stationary chamber-like systems with multiple cameras are used, then damage detection accuracy is improved, but the system becomes non-transportable and cannot be deployed in hail-affected areas
Solution Approach 1:
The patent transforms the static chamber-like system into a mobile, dynamic apparatus. The support structure with projector and cameras is designed to be transportable and can move relative to the vehicle. The system maintains measurement precision by using optical patterns and reflective properties that work effectively during vehicle movement, enabling deployment in various locations including hail-affected areas.
Solution Approach 2:
The system is designed as a universal, multi-functional apparatus that can inspect various vehicle types and sizes. The support structure and measurement system are configured to accommodate different vehicle configurations, making the system adaptable to diverse inspection scenarios while remaining transportable.
3Measurement precision
If laser-scanning technology is used, then shallow and low contrast surface damages can be detected, but spurious signals are generated making damage identification unreliable
Solution Approach 1:
Instead of using laser scanning that generates spurious signals, the patent uses optical pattern projection that creates a visual copy of the surface topology through reflected patterns. The projector displays patterns that reflect off the vehicle surface into cameras, creating an optical map of surface variations. This method detects shallow damages reliably without generating false signals, as the pattern reflection directly represents surface geometry.
4Productivity
If a single pass through the system is used, then productivity is improved, but detection reliability decreases because each defect is scanned only once
Solution Approach 1:
The system performs continuous damage detection during the vehicle's single pass through the apparatus. The projector and cameras continuously capture pattern reflections across the vehicle surface, and the measurement system processes data in real-time. This continuous measurement approach ensures that all damages are detected reliably in one pass, maintaining both productivity and reliability.
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
Enables fast, precise, and accurate detection and classification of vehicle damages in a single pass, reducing human error and accommodating different vehicle types without the need for pre-defined reference models or markers, suitable for use in mobile settings like hail-affected areas.
Implementation Method 1
uses a special chamber with braces, which enables precise movement of light source, a deflection screen, a signal processing device. Such system uses reflective properties of observed objects
Data Source
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AI summary
A mobile and automated apparatus for the detection and classification of damages on the body of a vehicle, specifically meaning by "damage" a dent or a depression on the vehicle body caused by pressure applied on such body by an external object (hail-stone or other), characterized in that it comprises a support structure defining a passage area for a motor vehicle having a body; the support structure comprises: lighting means adapted to project a grid pattern on the surfaces of the body, speed sensor means adapted to measure the speed of the vehicle, distance sensor means adapted to measure the distance of the body surfaces from the support structure, and image recording means adapted to capture moving images of the pattern reflected by the surfaces; the apparatus comprises a unit processing the moving images of the pattern reflected by the surfaces and captured by the image recording means, and simultaneously processing the signals from the sensor means of distance and speed, in order to detect, count, classify and record damages on the car body.