FaceFirst

Known offender enters the store.

System identifies face against private database.

Security receives push notification on mobile device.

Staff approaches the individual with a 'customer service' greeting to deter theft.

VIP guest walks through the main entrance.

FaceFirst matches face to the loyalty database.

Concierge is notified of the guest's name and preferences.

Host greets guest by name at the elevator.

Individual on a 'no-fly' or 'watch' list passes a security camera.

System triggers an immediate high-priority alert to the command center.

Command center verifies the match via high-res still images.

Law enforcement intercepts the individual at a pre-calculated checkpoint.

Employee approaches the high-security door.

Camera captures face; system verifies identity in <100ms.

FaceFirst signals the door controller to unlock.

Entry is logged in the audit trail with a time-stamped image.

Investigator uploads a screenshot of the suspect from a witness phone.

FaceFirst scans 30 days of historical footage from 50 cameras.

System provides a timeline of every appearance of that individual.

Investigator identifies the suspect's point of entry and vehicle in the parking lot.

Banned individual attempts to enter a stadium gate.

Biometric match is triggered at the turnstile.

Gate is automatically locked via integration.

Security escorts the individual off the premises.

Patient approaches an external exit door.

Camera identifies patient and recognizes 'at-risk' status flag.

Nursing station receives an emergency alarm.

Staff redirects the patient to a safe area.