Vehicle Damage Detection from Moving Multi-Angle Image Comparison
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Solution Overview
Problem
Existing vehicle damage detection systems are costly, complex, and require precise camera positioning, stationary vehicles, and trained operators, limiting their practicality and increasing operational costs.
Innovation Solution
A system using low-resolution cameras, capturing images from vehicles in motion with varying orientations, applying image recognition and transformation techniques to compare 'handover' and 'return' images, eliminating the need for specific positioning and trained operators, and enabling damage detection and estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive high-resolution cameras and specific positioning systems are used, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a digital twin or virtual model of the vehicle that mirrors its physical state. Instead of using complex high-resolution camera systems to directly detect damage, the system captures images from multiple angles, creates a comprehensive digital representation, and compares this virtual model against reference states to identify damages. This copying approach simplifies the physical detection system while maintaining high measurement precision through sophisticated software comparison algorithms.
Solution Approach 2:
The patent divides the vehicle inspection process into multiple discrete image captures from different angles and positions, then segments the analysis by comparing specific regions of interest between the digital twin and reference models. Rather than requiring a single complex high-resolution capture system, the method uses multiple lower-resolution captures that are processed and compared in segmented portions, reducing overall system complexity while maintaining detection accuracy.
2Measurement precision
If stationary vehicle positioning and specific camera locations are required, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent transitions from a static inspection system requiring fixed vehicle positioning to a dynamic system that captures images while the vehicle is in motion or at various positions. The method uses multiple camera angles and moving capture points to create a comprehensive digital twin, eliminating the need for stationary positioning while maintaining measurement precision through software-based alignment and comparison of the captured images.
Solution Approach 2:
The patent creates a universal inspection system that can operate under multiple conditions - the vehicle can be stationary or moving, cameras can be positioned at various locations, and the system adapts to different capture scenarios. This multi-functional approach eliminates the need for specific positioning requirements while maintaining detection accuracy, as the software process is designed to handle diverse input conditions and normalize them for comparison.
3Measurement precision
If trained operators are used for visual verification, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent replaces the mechanical process of human visual inspection with an automated computer-based image processing and comparison system. The digital twin technology enables automatic comparison of vehicle images against reference models, eliminating the need for trained operators to manually examine and document damages. This substitution maintains high measurement precision through consistent algorithmic analysis while dramatically reducing inspection time by automating the entire verification process.
Solution Approach 2:
The system enables self-service inspection by automatically capturing, processing, and analyzing vehicle images without requiring human operators. The digital twin comparison process is self-executing, automatically identifying damages and generating inspection reports. This self-service capability eliminates the time loss associated with manual inspection while maintaining high detection accuracy through sophisticated automated image analysis algorithms.
4Measurement precision
If dedicated image capturing areas are established, then measurement precision is improved, but device complexity and operational cost increase
Solution Approach 1:
The patent moves the inspection process from a spatial dimension requiring dedicated physical areas to a temporal and digital dimension. Instead of establishing fixed capture zones, the system captures images at multiple points in time and from multiple angles, then uses digital processing to create a comprehensive virtual model. This dimensional shift eliminates the need for dedicated physical infrastructure while maintaining measurement precision through sophisticated software-based image alignment and comparison.
Data Source
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AI summary
An automatic system for detecting a damage to a vehicle, comprising: (a) at least one camera for capturing "handover" and "return" images irrespective of the vehicle's movement or orientation relative to the camera; (b) a memory for storing images of basic-parts (c) a first determination unit for, based on the basic-parts images, determine the location of one or more basic-parts within the "handover" and "return" images; (d) a second determination unit configured to, based on the determined locations of the basic parts within the images, determine the locations of "other parts" within the "handover" and "return" images, thereby to form "handover" and "return" part-images, respectively; (e) a transformation unit configured to separately transform each pair of "handover" and "return" part-images, respectively, to a same plane; (f) a comparison unit configured to separately compare pixel-by-pixel each transformed pairs of "handover" and "return" part-images, to detect a difference above a predefined threshold.