Many investigators rely on visual inspection to detect fraud, using a memory-based repository of images to identify potential duplicates or fraudulent activities. They require a method to efficiently screen the millions of unstructured data files in their claim system for signs of fraud.
Digital Media Forensics automates the analysis of unstructured data by applying a series of algorithms to every customer-submitted loss photo to expose anomalies.