ARTIFICIAL INTELLIGENCE AND FIGHT AGAINST FRAUD
Fighting insurance fraud related to false documents, recognizing anomalies, graphic manipulations and visual inconsistencies.
An Artificial Intelligence, Computer vision and Object Recognition platform, specific for the insurance sector.
What does he do
It deals with analyzing images and documents of any structure and complexity to recognize graphic manipulations, visual inconsistencies, verify the uniqueness of the image within the DB, check that the image is not present on the internet. To combat insurance fraud related to false documents.
What makes Horus a forerunner in the insurance industry is his ability to read insurance-related contracts and documents to speed up the underwriting process of workflows. The tool is able to read images, documents, invoices and medical reports and to further identify and label them to return the textual information in a storable format.
How does it work
It is a series of intelligent engines based on recurrent artificial neural networks that analyze images to identify, recognize, interpret, classify, control and make the data contained therein usable.
Identification of contained objects
Location detection of objects
Alteration marks detection: pixel matrix consistency, color consistency, recapture, aliasing
PRESENCE ON THE DB
To avoid false documents, duplication, fraud, …
PRESENCE ON THE NETWORK
To identify images that have been downloaded from the network, modified, and presented together with the accident report.
META – PROPERTIES
Check the presence and consistency of metadata, timestamps, cryptographic checks.
Insurtech and surroundings
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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