Vehicle Damage Part Identification via Feature-Position Matching
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Solution Overview
Problem
Existing car insurance assessment methods face inefficiencies and inaccuracies in identifying damaged vehicle parts due to inadequate user photography skills and limited image analysis capabilities, leading to redundant photos and suboptimal loss assessment processes.
Innovation Solution
A method and apparatus that utilize a client and server system to identify damaged vehicle parts by manually marking damage locations in images, determining relative positional relationships between features, and matching these with a pre-established feature correspondence library to accurately determine the damaged parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle owners take damage photos using their mobile phones at the accident scene, then the loss assessment process can be conducted remotely, but the accuracy of identifying damaged parts deteriorates due to inadequate photography skills and limited image analysis capabilities
Solution Approach 1:
The patent introduces an intermediary system consisting of a server with image analysis capabilities and a feature correspondence library. The server acts as a mediator between the user's captured image and the final damage assessment, automatically identifying feature parts and matching them with the marked damage area to determine the damaged part, thereby compensating for the user's limited photography skills
Solution Approach 2:
The patent replaces the manual mechanical process of damage assessment (surveyors physically inspecting vehicles) with an automated image-based system. The server uses computer vision technology to analyze captured images, identify feature parts, and determine damaged areas, substituting human mechanical inspection with automated digital analysis
2Measurement precision
If users manually mark damage locations in captured images, then the damaged area can be precisely indicated, but the complexity of the operation increases due to requiring user interaction and coordination between client and server
Solution Approach 1:
The patent segments the damage identification process into distinct functional modules: image capture by client, damage area marking by user, feature part identification by server, and damaged part determination by matching. This segmentation allows each component to specialize in its function, improving overall precision while managing complexity through modular design
Solution Approach 2:
The system enables self-service damage assessment where users can independently complete the marking process on their own devices without requiring external assistance from surveyors or experts. The server automatically processes the marked images and provides damage identification results, making the service accessible and easy to use
Data Source
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AI summary
Disclosed in the embodiments of the present application are method and apparatus for identifying damaged part of vehicle, server, client and system. The method comprises: pre-establishing identifiable vehicle feature library including vehicle parts and feature correspondence library including relative positional relationships of these parts. During the loss assessment image capturing procedure, the user manually delineates the damage location on the client. The identifiable vehicle features in the image can be identified by the server, the relative positions of the identifiable features and the mark delineated by user are determined according to these identifiable features. This relative position is matched in the feature correspondence library to determine the damaged part, enables assisted locating of the damage location by manual and simple operations by the user at the scene, assists insurance companies in locating damaged part of vehicle, thereby improving the accuracy and processing efficiency of identifying damaged part in loss assessment.