Vehicle Image Analysis Using Base Models for Damage Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image processing systems are unable to quickly and effectively detect changes in objects, such as damage to vehicles or buildings, due to difficulties in comparing images from different perspectives, angles, and camera distortions, leading to inaccurate or incomplete change detection and quantification.
Innovation Solution
A computer-implemented method and system that analyzes images by identifying a target vehicle, accessing a base image model, and using correlation filters and convolutional neural networks to detect and quantify changes by aligning and correcting for camera distortions, thereby generating a heat map of detected damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are compared from different perspectives, angles, and cameras, then more comprehensive change detection is possible, but accuracy deteriorates due to camera distortions and perspective differences
Solution Approach 1:
The patent introduces a base image model as an intermediary reference that standardizes comparisons across multiple images. This base model serves as a common reference frame, allowing images from different perspectives and cameras to be compared against the same standardized template, thereby resolving the contradiction between comprehensive detection and accurate measurement
Solution Approach 2:
The system transforms images by adjusting parameters such as perspective, angle, and distortion to match the base image model. This parameter transformation allows images captured under different conditions to be normalized and compared accurately, enabling both comprehensive coverage and precise measurement
2Productivity
If simple image comparison is used, then processing speed is improved, but detection accuracy deteriorates due to inability to account for lighting, surrounding objects, and camera differences
Solution Approach 1:
The system performs preliminary processing by pre-aligning and normalizing images against a base image model before conducting change detection. This preliminary action of standardizing images in advance enables both fast processing during the actual comparison phase and high accuracy by eliminating the need for complex real-time adjustments
3Measurement precision
If high fidelity comparison is performed, then detection accuracy is improved, but device complexity increases due to requirements for same camera, perspective, and angle
Solution Approach 1:
The patent creates a standardized base image model that serves as a reference copy against which all other images are compared. This copying approach allows high-fidelity comparison without requiring the original imaging conditions to be replicated, as the base model captures the essential reference state that can be used for accurate comparison across different cameras and perspectives
Data Source
AI summary
A method and system for analyzing images of a target vehicle according to a base image model corresponding to the target vehicle. According to certain aspects, the method and system receive a set of images from an electronic device and analyze the set of images to identify the target vehicle and a set of information associated with the target vehicle. The method and system may determine that the set of images does not meet a threshold criteria for further image analysis using a base image model corresponding to the target vehicle. In response, the method and system may generate and transmit a notification to the electronic device indicating that the set of images does not meet the threshold criteria.