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Due to recent advances in reliability, accuracy and performance, the use of facial recognition technology in both security and commercial applications has grown significantly. Unlike other biometric systems, facial recognition requires no physical or active interaction with the subject, making it one of the least intrusive yet highly accurate biometric modes. It enables faces to be recorded and archived at a distance, act as a crime deterrent, and help identify a person in real-time.
The contact-free non-obtrusive approach makes for a more easily integrated and acceptable identification solution using existing CCTV cameras. Webcams can also be used to match images to records stored in a database. Biometric facial recognition has achieved a high profile, not only in security applications, it has also become increasingly important in registering and verifying individuals.
NEC has developed biometric technologies for more than 30 years and has solutions used by more than 1000 customers in over 40 countries worldwide. NEC’s facial recognition software is independently recognised as the fastest and most accurate on the global market. NEC was ranked #1 in 3 consecutive facial recognition annual benchmark tests conducted by the National Institute of Standards and Technology (NIST), greatly exceeding all other vendors in both accuracy and speed.
Through the utilisation of a unique matching face detection method, NeoFace provides high speed and high accuracy for facial detection and facial features extraction. NEC’s face recognition relies on a modified Generalized Learning Vector Quantization (GLVQ) algorithm. GLVQ is not easily fooled by attempts to conceal identity through the usage of caps, hats or sunglasses. NeoFace can be implemented as a functionally independent application, or NEC can work with you to seamlessly integrate the application into new or existing biometrics security solutions.
NEC recently announced that it has partnered with the Northern Territory (NT) Police Force in Australia to implement leading edge forensic facial recognition technology to fight crime and keep communities safer. During the initial trial in early 2015, police used the system to successfully identify around 300 individuals from photos and CCTV footage, helping police solve crimes and prevent threats to safety. Learn more.
Police Minister Peter Chandler said “This new facial recognition software has already helped police identify or rule out suspects.” Read the Minister’s address.