Computer vision for damage assessment & fraud control

AI Image Recognition

Built and trained on millions of real motor claim images processed through JoClaims, our AI image recognition engine turns ordinary photos into structured claim data. It identifies damaged components, estimates severity and repair cost, distinguishes fresh from pre-existing damage, and supports fully remote inspections — available inside JoClaims and CarUsta or as a standalone API for insurers, surveyors and fleets.

Seconds

Photo to damage report

Remote

Inspections without a surveyor visit

Millions

Claim images used for training

API

Integrates into any core system

Capabilities

What AI Image Recognition does end to end

01

Damage detection & part identification

The model localizes damage on the vehicle, names the affected components and maps them to coded parts so estimates and procurement start from structured data rather than free text.

02

Severity & repair-cost estimation

Each detected area is scored for severity and matched to repair-versus-replace logic and live market pricing to produce an instant, defensible cost estimate.

03

Pre-existing damage recognition

Comparison against prior claim images and damage signatures highlights old damage being resubmitted as new, one of the most common leakage sources in motor claims.

04

Image integrity & fraud signals

Metadata, duplication and manipulation checks surface reused, edited or mismatched photos before an assessment is approved.

05

Remote & self-service inspection

Guided photo capture in the customer or surveyor app ensures usable angles and lighting, enabling accurate assessment without a physical visit.

06

Underwriting support

The same engine documents vehicle condition at policy inception, giving underwriters an objective baseline for pricing and future claim comparison.