AUTOMATIC ESTIMATION OF REPAIR COSTS IN REAL TIME
Analyze images of car claims to recognize damaged parts, channeling complex claims and mass claims in a totally automatic way.
An Artificial Intelligence, Computer vision and Object Recognition platform, specific for the insurance sector.
What does he do
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.
Analyze the image to isolate the “VEHICLE” object from the others elements found in the photograph and determines the angle of the camera relative to the car.
If the image was taken from a frontal position with respect to the car, Horus is able to determine the model. If in the photo there is also the license plate, Horus identifies the “plate” object, queries the specific databases to obtain machine information (make, model, technical data, etc.), check that the plate corresponds to the vehicle model.
Once the vehicle is identified, every single component is detected and tagged for analysis.
Identify damaged components and define the type of damage: scratch, dent, replacement.
The interaction with national or international databases, which classify the price list, time and labor costs for each element, allows you to create an immediate and automatic damage assessment.
Horus is the ideal tool with which to channel mass claims in a totally automatic way.
For minor damage, it makes an estimate in real time, without any human intervention, possibly directing the insured to the body shop most suitable for the type of damage.
Insurtech and surroundings
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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