- Advancing the reliability of biometric technology for payments, transportation and other fields in the age of AI -
TOKYO-Friday 4 October 2019 [ AETOS Wire ]
(BUSINESS WIRE)-- NEC Corporation (NEC; TOKYO: 6701), a leader in the integration of IT and network technologies, today announced that its face recognition technology achieved the highest matching accuracy in the Face Recognition Vendor Test (FRVT) 2018 (*1) performed by the U.S. National Institute of Standards and Technology (NIST), with an error rate of 0.5% when registering 12 million people (*2).
NEC’s technology ranked No. 1 in NIST testing for the fifth time, following its top placement in the face recognition testing for video in 2017. The high performance of NEC’s technology is reflected in the test results which placed the company significantly ahead of the runner-up.
In recent years, the growing convenience of biometric authentication technology, improved security awareness, and the remarkable development of artificial intelligence (AI), have driven companies around the world to begin adopting biometric authentication technology. Specifically, the use of face recognition technology is rapidly expanding across a wide range of fields throughout the world. Face recognition technologies are now being used in areas that require high reliability, convenience and long-term use, such as identity verification and national infrastructure, transaction settlements, bank account establishment, and passport verification.
49 organizations, including companies from the United States, China, Russia, Europe, and Japan, participated in the NIST’s FRVT 2018, where the evaluation of face recognition accuracy was performed. These tests are the most rigorous and fair benchmarks implemented by the NIST as each organization is required to submit and be evaluated on programs that were developed during the same period. By performing multi-stage matching, an impressive search speed of 230 million matchings per second was achieved. Furthermore, leveraging NEC's deep learning methods to significantly reduce the identification error rate, NEC accurately matched images of a subject taken over a 10 year interval with an error rate that was 4 times lower than the runner-up.
Going forward, NEC aims to further expand the scope of this technology’s application to include store transaction settlements, services in public facilities, such as buses, railways, airports, city offices, and hospitals; and helping to protect and care for children and the elderly. Based on the NEC Group AI and Human Rights Principles established in April of this year (*3), NEC gives top priority to the consideration of privacy and respect for human rights when using AI and biometric data. NEC also aims to contribute to further improvements in the usability of biometric identification and video analytics technology, including face recognition.
“NEC’s portfolio of biometric identification solutions, ‘Bio-IDiom’ (*4), which includes face recognition technology, is critical to the ways that NEC is helping to build safer and more productive societies as part of the ‘NEC Value Chain Innovation’,” said Hitoshi Imaoka, NEC Fellow at NEC Corporation. “These technologies create new value by sharing information on the status of communities, things, and processes across the entire value chain, and are a meaningful source of growth in our Mid-term Management Plan 2020 and ‘NEC Safer Cities’ (*5), which support the realization of safe, secure, efficient, and equal cities.”
The Face Recognition Vendor Test 2018 (FRVT 2018), sponsored by the US Department of Homeland Security and others, assessed the accuracy and speed of authentication for tens of millions of people using face recognition technologies from top vendors from throughout the world.
Patrick Grother, Mei Ngan, Kayee Hanaoka, Face Recognition Vendor Test (FRVT), NIST Interagency Report 8271(2019/09/11)
NEC Unveils "NEC Group AI and Human Rights Principles"
NEC Safer Cities
About NEC Corporation
For more information, visit NEC at http://www.nec.com.
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Corporate Communications Division
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