Remote Vehicle Damage Analysis via 3D Photogrammetry
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing vehicle damage are inefficient, requiring physical transportation of vehicles for appraisal and delaying repair processes, and often involve inconveniences and inefficiencies.
Innovation Solution
A network-based system and method for model-based analysis of vehicle damage, utilizing a DA computer system that receives images, compares them to models, determines damage extent, and estimates repair costs, allowing for remote assessment and scheduling of repairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional damage appraisal methods are used requiring physical transportation of vehicles, then accurate damage assessment can be achieved through direct inspection, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent creates a digital copy of the vehicle through photogrammetry by capturing multiple images from different angles and reconstructing a three-dimensional model. This digital replica allows appraisers to conduct detailed damage assessments remotely without physically transporting the vehicle, thereby maintaining measurement precision while significantly reducing time loss.
Solution Approach 2:
The patent replaces the mechanical system of physical vehicle transportation and in-person inspection with an optical-digital system. Cameras capture images that are processed through photogrammetry algorithms to create a virtual 3D model, substituting the need for physical movement and direct visual inspection with automated image processing and digital analysis.
2Reliability
If physical transportation of vehicles for appraisal is required, then comprehensive damage inspection is possible, but device complexity and operational difficulty increase
Solution Approach 1:
The system enables the vehicle itself to be the subject of appraisal through its own digital representation. The photogrammetry process automatically captures and processes images of the vehicle, creating a comprehensive 3D model that allows complete damage inspection without requiring the vehicle to be physically moved to an appraisal location, thereby improving ease of operation while maintaining inspection completeness.
Solution Approach 2:
The created three-dimensional digital model serves multiple functions: it allows for damage assessment, provides a permanent record of vehicle condition, enables remote collaboration between appraisers and repair facilities, and can be used for insurance documentation. This multi-functionality replaces the need for separate physical inspection processes.
3Measurement precision
If traditional damage appraisal processes are used, then detailed damage analysis can be performed, but productivity and processing speed decrease
Solution Approach 1:
The system performs preliminary damage analysis automatically through photogrammetry and 3D model generation before human appraisal is needed. The automated processing of images into a detailed three-dimensional model with measured data provides a head start on damage quantification, allowing appraisers to focus on interpretation and decision-making rather than basic measurement, thereby increasing overall productivity while maintaining analysis detail.
Data Source
AI summary
A system for capturing images of damage to an object configured to (i) store an orientation model associated with an object; (ii) receive, from a user, a request to analyze damage to the object; (iii) instruct the user to position a camera at a first position relative to the object; (iv) receive an image of the object from the camera; (v) determine whether the received image is properly framed; (vi) if the received image is not properly framed, instruct the user to adjust the position of the camera; and (vii) if the received image is properly framed, instruct the user to position the camera at a second position relative to the object. As a result, obtaining images of sufficient quality for proper processor analysis may be facilitated.