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Security
Digital
Face Recognition In The Crowd
Digiads created a world-leading face recognition algorithm capable of handling large number of faces in real life scenarios. Among these are the following scenarios:
Stadiums – More secure games, concerts and other high traffic events.
Missing Children – Locate missing children and victims of human trafficking.
Airports – Extract, analyze and identify people in a crowded airport environment.
Safe Cities – Track suspect’s route throughout multiple cameras in the city.
Borders – Receive real-time alerts when known POI’s approach or try to cross a border.
Fast & Accurate Face Recognition
The human face plays an important role in our social interaction, conveying people’s identity. Using the human face as a key to security, biometric face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications in both law enforcement and non-law enforcement.
As compared with other biometrics systems using fingerprint/palmprint and iris, face recognition has distinct advantages because of its non-contact process. Face images can be captured from a distance without touching the person being identified, and the identification does not require interacting with the person. In addition, face recognition serves the crime deterrent purpose because face images that have been recorded and archived can later help identify a person.