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Fraud Detection

fraud-detection

Vehicle Theft Identification

We have created a number of specialist tools for detecting motor insurance fraud by analyzing images and videos of cars.
old-prior-damage

Old/Prior damages to identify vehicle insurance fraud

Signal instances in which any historical or previous damage to the car is found

all-assets-covered

Make sure you have covered every part of the asset.

Flag cases where certain sections of the vehicle are not covered e.g. right fender missing in images/video

metadata

Metadata

We read metadata e.g. GPS coordinates, time stamps to detect fraud.

stickers

Stickers

We find stickers that could have been used to cover up damage.

cause-of-damage

Cause of damage validation

Estimate the damage, such as hail damage, and determine if the vehicle was struck by a car, truck, pole, etc.

old-prior-damage

Personal Injury

To identify fraud, we examine metadata such as time stamps and GPS positions.

specialised-fraud-detection

Specialised fraud detection

Use visual indicators to identify any previous repairs or retouching.

footsteps-counting

Footsteps counting

To cut down on the number of vehicles used to take pictures or videos, count the footsteps.

video-inspection

Video inspections

Situations where the vehicle leaves the frame while the video is being recorded