Windshield Damage Assessment Using AI Image Recognition
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Solution Overview
Problem
Current methods for determining windshield damage are inconsistent, costly, and time-consuming, relying on third-party expertise, which can lead to over-replacement and increased expenses for both vehicle owners and insurance companies.
Innovation Solution
A computer network-based system using AI and image recognition tools to assess windshield damage severity, providing recommendations for repair or replacement based on analyzed data, allowing vehicle owners to schedule appointments through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If third-party glass companies perform damage assessment, then damage determination can be made, but the determination varies among companies and lacks consistency
Solution Approach 1:
The patent uses image recognition technology to create a digital copy of the windshield damage for analysis. The system captures images of the damaged windshield and uses automated algorithms to assess the damage characteristics, replacing the variable human assessment with a consistent digital copying and analysis process that produces uniform results across different assessors.
Solution Approach 2:
The patent replaces the mechanical system of human expert assessment with an automated computer-based image recognition system. The system uses software algorithms to analyze windshield damage images, eliminating the variability introduced by different human assessors and providing consistent, objective damage determination.
2Reliability
If windshield replacement is performed instead of repair, then safety is ensured, but costs increase significantly
Solution Approach 1:
The patent implements a feedback mechanism where the image recognition system provides objective damage assessment results that feed back into the decision-making process. The system analyzes damage characteristics and provides recommendations that balance safety requirements with cost-effectiveness, preventing unnecessary replacements while ensuring adequate repair when safe.
Solution Approach 2:
The patent changes the parameters used for damage assessment from subjective human judgment to objective digital image analysis parameters. The system measures specific damage characteristics such as crack length, position, and type using standardized digital parameters, which enables more precise determination of when repair is sufficient versus when replacement is necessary.
3Ease of operation
If conventional damage assessment methods are used, then simplicity is maintained, but time consumption and cost increase
Solution Approach 1:
The patent implements a self-service assessment system where the image recognition technology automatically analyzes windshield damage without requiring human intervention. The system independently captures images, processes them through automated algorithms, and generates assessment results, eliminating the time-consuming human assessment process while maintaining ease of use for customers.
Solution Approach 2:
The patent creates digital copies of the windshield damage through image capture and uses these copies for automated analysis. This digital copying approach replaces the time-consuming physical inspection process, allowing rapid assessment through computer-based image recognition while maintaining simplicity for the end user.
Data Source
AI summary
A damage assessment (DA) computing device including at least one memory and at least one processor is disclosed. The at least one processor of the DA computing device is programmed to receive, from a client device, data representing a glass related damage claim, and determine characteristics of the damage to the glass by analyzing the received data. The characteristics of damage include at least a type of the damage, and a size of the damage. The at least one processor is programmed to determine, based upon the determined characteristics of the damage, a type of repair to fix the damage, and communicate, to the client device, the determined type of repair to fix the damage. The at least one processor is programmed to prompt a user of the client device to accept the type of repair including facilitating scheduling of an appointment to complete the type of repair.