How does Virtual Inspection Pro prevent photo fraud?

There is no single check that catches every bad submission. A recycled photo from a prior claim, a picture of a laptop screen, a retouched dent, and a genuine photo taken three towns away all fail in different ways.

Each capture therefore runs through several independent checks, and the record shows which passed, which flagged, and why.

Timestamps are issued server-side, so rolling back the phone's clock changes nothing.

GPS is recorded with its accuracy radius and compared against the template's geofence, with distance shown on any breach.

Perceptual hashing compares each capture against previously submitted media, so an image recycled from an earlier inspection is flagged even after cropping or recompression.

Editing artefacts, generative-AI signatures, and screen-recapture patterns — moiré, refresh banding, bezel geometry — are detected before the file is accepted as evidence.

Device fingerprinting and attestation flag emulators, mock-location tooling, and headless browsers, which is where deliberate spoofing usually originates.

Legitimate submissions sometimes trip a check — a rural fix with 80 metres of error, a photo taken from across a highway. Flagged captures go to review with the evidence attached rather than being discarded, and the reviewer's decision is logged.