AnyVision and Telefónica Announce Integration Partnership

Tel Aviv, Israel (December 5, 2018) – AnyVision, the world leader in the design and development of artificial intelligence and recognition platforms, has announced today its…


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Qualcomm to Invest in the Future of AI

SAN FRANCISCO – November 28, 2018 – Qualcomm Incorporated (NASDAQ: QCOM) today announced the launch of the Qualcomm Ventures AI Fund to invest up to an aggregate of $100 million…


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AnyVision and Genetec Inc. Announce Partnership to Expand AI Powered Surveillance Videos

AnyVision and Genetec Inc Announce Partnership to Expand AI Powered Surveillance Videos


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AnyVision Secures $28M Series A to Lead the Global AI Industry

AnyVision, the world leader in the design and development of artificial intelligence and computer vision technology, announced it has secured $28 million in Series A financing led…


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Bosch Building Technologies invests in AnyVision

Bosch to acquire 9 percent stake in AnyVision Interactive Technologies Ltd. In addition to the acquisition of the stake by Bosch, the two companies will enter into a sales and…


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Domodedovo Airport in Moscow steps into the future

MOSCOW, April 17. /TASS/. Moscow’s Domodedovo Airport has finished a pilot project for introducing facial recognition technology as a security measure.


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AnyVision Revolutionizes Security – Powered by NVIDIA

Tel Aviv - Feb 15 2018 - AnyVision announced today that it has joined NVIDIA’s Metropolis Software Partner Program (MSPP) to combine the company’s robust face and human…


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The IJB-A (1 to N) Face Identification Challenge Performance Report

Three IARPA Janus Benchmark A challenges are described by Klare et al. in the paper Pushing the Frontiers of Unconstrained Face Detection and Recognition[3]. The second of these,…


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AnyVision partnership with Nvidia

AnyVision utilizes NVidia hardware to achieve high-speed, real-time face recognition from surveillance video streams.  Our system is highly optimized for GPU acceleration allowing…


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Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks

Deep learning has achieved great success in face recognition, however deep-learned features still have limited invariance to strong intra-personal variations such as large pose…


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