Vehicle Body Damage Detection Using Dynamic Light Bands
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Solution Overview
Problem
Existing vehicle damage detection systems are limited in versatility, require complex algorithms, and struggle to efficiently detect damage in shaded areas due to high mutual contrast bands that obscure observations.
Innovation Solution
A device with a lighting module generating alternating light and dark bands of varying intensity and color, combined with a vision module and sensors, moves around the vehicle to detect surface damage using neural networks for analysis, allowing observation of reflections and refractions to identify scratches and chips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high mutual contrast bands are used for damage detection, then damage detection capability is improved, but observation of shaded areas deteriorates
Solution Approach 1:
The system dynamically adjusts the luminance ratio of adjacent bands based on the detection needs. By making the luminance ratio adjustable rather than fixed, the system can optimize for either damage detection contrast or shaded area illumination depending on the specific detection scenario, resolving the contradiction between these two requirements
Solution Approach 2:
The patent changes the luminance parameter of the light bands from a fixed high-contrast configuration to an adjustable configuration. This allows the system to modify the luminance ratio parameter to suit different detection conditions, enabling both high damage detection capability and adequate shaded area observation by selecting appropriate luminance ratios
2Measurement precision
If complex algorithms are used for damage analysis, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical/image processing algorithms with a neural network-based system. The neural network is trained once to recognize damage patterns, and then performs rapid automated detection without requiring complex real-time processing algorithms, thus improving detection accuracy while managing system complexity through learning-based approaches
3Device complexity
If a fixed detection system is used, then system simplicity is improved, but versatility across different vehicle types deteriorates
Solution Approach 1:
The patent creates a universal detection system that can handle multiple vehicle types through the neural network's learning capability. The system maintains relative simplicity in hardware while achieving versatility by training the neural network on diverse vehicle data, allowing one system design to serve multiple functions across different vehicle platforms
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 efficient detection of surface damage on vehicles, including shaded areas, by utilizing neural networks for data analysis, enhancing detection accuracy and versatility across different vehicle types.
Implementation Method 1
The visible light source is provided with a screen in the form of alternating light and dark bands... using visible light with a luminance value of each type of structural stripes of at least 200 cd/m2... allows observation of reflections and refractions to identify scratches and chips
Implementation Method 2
at least one image recording device mounted on the lighting module... the image recording device is a monochrome camera with a resolution of at least 3 Mpix with a hardware input that triggers the shutter
Data Source
AI summary
A device for automatic detection of car body damage according to the invention includes at least one lighting module, to which a data processing device is mounted on the rear wall, and the front surface is a light source, on which at least one image recording device is mounted, and on the side wall—there is a measuring unit containing at least four sensors, with the lighting module located at a distance of 40 to 100 cm from the surface of the vehicle body or other detail, and the image recording device is a monochrome camera with a resolution of at least 3 Mpix with a hardware input that triggers the shutter, capable of synchronizing with a lighting module and an image recording device, the lens of which is equipped with the possibility of manual adjustment.