Photo-Based Vehicle Damage Estimation System

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Solution Overview

Problem

The existing claims adjustment process for insurance is time-consuming and inefficient, often requiring manual inspection and evaluation by claims adjusters, which delays the processing of claims.

Innovation Solution

A server-based system that enables photo-based estimation by receiving image data from a remote computing device, analyzing it to determine damage locations and quantities, and providing real-time estimates for repair or replacement costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual inspection and evaluation by claims adjusters is used, then accurate claim evaluation can be achieved, but the processing time is significantly increased

Engineering Contradiction:
Improveclaim evaluation accuracyVSAvoidclaim processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent uses image capture devices to create visual copies of the vehicle and its damage. These images are then analyzed by processing systems to evaluate the claim, replacing the need for manual physical inspection while maintaining evaluation accuracy through automated image analysis algorithms

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical manual inspection process with an automated system consisting of image capture devices, processing units, and databases. The system electronically captures, transmits, and analyzes vehicle images to determine damage and calculate claims, substituting human adjuster inspection with automated digital processing

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated photo-based estimation is implemented, then claim processing speed is improved, but the complexity of the system increases

Engineering Contradiction:
Improveclaim processing speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the automated claims processing system into distinct functional modules: image capture devices for acquiring vehicle images, processing units for analyzing the images and determining damage, and databases for storing vehicle information and claims data. This segmentation allows each component to perform its specific function efficiently while reducing overall system complexity through modular design

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The processing unit serves multiple functions within the system: it receives and processes images from various capture devices, analyzes damage across different vehicle types, retrieves relevant vehicle information from databases, and generates claims determinations. This multi-functionality reduces the need for separate specialized components, thereby managing system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12315017B2System and method for enabling capture of an image of a vehicle
Publication Date: 2025.05.27 THE TORONTO DOMINION BANK
  • US12315017B2 patent drawing
  • US12315017B2 patent drawing
  • US12315017B2 patent drawing

AI summary

Methods and systems for facilitating photo-based estimation are described. In an aspect, a computing device is configured to receive, from the camera, a signal comprising image data. The image data may represent at least a portion of a vehicle. The computing device may also retrieve data representing a preferred scene of the vehicle and determine, based on the image data and based on the data representing the preferred scene of the vehicle, whether the image data corresponds to the preferred scene of the vehicle. The server may, when the received image data corresponds to the preferred scene of the vehicle, enable capture of the image data. The server may send, via the communications module, a signal representing the captured image data to a processing server configured to analyze the captured image data to assess vehicular damage.