Cylan Face Recognition is built on state-of-the-art deep learning techniques for higher accuracy and identification speed.

Each person entering the view of the camera is being tracked and identified multiple times. The results are statistically verified and the final decision is based on the most reliable output.

Face recognition module is able to work in unconstrained environments, extreme distances and various face angles, requiring as little as one good image of a person for accurate real-time identification.

It allows to minimize biases as the facial recognition system was developed on a dataset balanced with all ethnicities and genders.

It is easily integrated with Access Control Systems to grant entrу based on biometrics or to alert in case a person from the watchlist has been detected.