Computer Vision for Automated Damage Detection in Insurance Claims
Banking, Financial Services & Insurance (BFSI)- 2024

Computer Vision for Automated Damage Detection in Insurance Claims

A computer vision system automated vehicle damage claims, cutting processing time and improving fraud detection.

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Overview

A leading auto insurer faced high volumes of vehicle damage claims, with slow manual photo inspections, inconsistent assessments, and fraud risk from altered images. The company turned to computer vision to automate damage analysis and improve claim accuracy.

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Impact Metrics

92%

Fraud Detection

<1 hour

Processing Time

50%

Cost Reduction

Tech Stack

YOLOv5ResNet-50Computer VisionPythonAzure