Multi-View Visual Damage Detection via 3D Object Modeling
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Solution Overview
Problem
Current vehicle inspection methods are largely manual, time-intensive, and prone to variability due to human expertise, leading to inconsistent damage detection and potential financial losses in insurance claims and vehicle transactions.
Innovation Solution
A system that uses multi-view data analysis, including neural networks and 3D modeling, to automatically detect damage by constructing an object model from multiple images, providing a standardized representation of damage through heatmaps and 3D models, independent of human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection is used, then human expertise can evaluate damage, but the process is time-intensive and results vary based on inspector experience
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated computer vision system that uses neural networks and multi-view image analysis to detect and assess damage, eliminating human time investment while maintaining or improving detection consistency
Solution Approach 2:
The system creates a digital 3D model copy of the vehicle from multiple images, allowing damage assessment to be performed on the digital replica rather than requiring physical inspection of the actual vehicle, thereby saving time while preserving detection accuracy
2Measurement precision
If multiple views are captured to improve damage detection accuracy, then detection precision increases, but the complexity of data processing increases
Solution Approach 1:
The patent segments the complex multi-view data processing into distinct stages: image capture from multiple viewpoints, 3D model construction, damage detection on the 3D model, and result visualization. This segmentation manages complexity by breaking down the overall process into manageable, specialized sub-tasks
Solution Approach 2:
The 3D model serves as an intermediary representation that simplifies the analysis of multi-view images. Instead of directly processing and correlating multiple 2D images, the system converts them into a unified 3D model where damage can be detected and localized more straightforwardly
Data Source
AI summary
Images of an object may be captured at a computing device. Each of the images may be captured from a respective viewpoint based on image capture configuration information identifying one or more parameter values. A multiview image digital media representation of the object may be generated that includes some or all of the images of the object and that is navigable in one or more dimensions.