Satellite Image Analysis for Fraud detection

Catastrophic claims are made after 2 weeks of a disaster occurring in an area.

In certain cases, Insured party manually demolishes part of the property which was not damaged during the disaster to make full insurance claims for the property. ZASTI built a deep learning-based AI model to analyze satellite images before and after a certain event to identify potential fraudulent claims before pay-out.

Do you want to discuss this use case in detail?

Let’s Connect