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Source: NEC website. |
NeoFace Watch, designed for operational security, integrates with existing video surveillance systems and works by extracting faces in real-time from cameras, matching them in real-time against a watchlist of individuals to trigger an alert.
NEC’s facial recognition technology relies on a modified Generalised Learning Vector Quantisation (GLVQ) algorithm which enables high speed and high accuracy facial detection and facial features extraction. The technology has been deployed worldwide for security purposes, such as for CCTV surveillance, border control, law enforcement, immigration as well as others.
NEC Corporation of Malaysia’s public safety capabilities in Malaysia include solutions for law enforcement, immigration control, public administration services as well as inter-agency collaboration, to enhance the safety of government and business in Malaysia.
“NEC Corporation of Malaysia is committed to developing innovative public safety solutions that will contribute towards the public sector and related industries in Malaysia. Our expertise and experience includes successful deployment of facial recognition and biometric technologies for governments and businesses globally. Through our sophisticated technologies that can provide the needed intelligence to counter security threats, we look forward to working with security and government agencies to ensure the safety of the individual and community,” said Andrew Lee, Managing Director, NEC Corporation of Malaysia.
NEC’s face recognition technology has achieved the highest performance evaluation in the recent Face Recognition Vendor Test (FRVT) 2014 performed by the US National Institute of Standards and Technology (NIST)*. Test results revealed NEC’s search accuracy as well as face recognition algorithms speed for image search outperformed competitors significantly. The NIST report is considered an industry benchmark for assessing how accurate a face recognition software solution is in one-to-many searching in various circumstances.
* http://biometrics.nist.gov/cs_links/face/frvt/frvt2013/NIST_8009.pdf
Read a June 2014 post on the facial recognition market forecasts here.
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