NtechLab, which provides the face biometric technology used in Moscow’s massive public security system, has launched pilot projects in ten other cities, though Kommersant (as translated by Google) reports that funding challenges could slow or prevent an operational rollout. Some 3,000 cameras with supporting a facial recognition system are being installed in Nizhny Novgorod, where they will be used to watch for criminals, as well as people violating quarantine orders.
NtechLab và FindFace
trong Truyền thông Đại chúng
Chúng tôi tạo ra giải pháp cho phép nhìn được mọi người. Kín đáo, nhanh chóng và chính xác, có khả năng xác định một người trong đám đông hàng nghìn người chỉ trong tích tắc, nhận ra khách hàng ngay cả trước khi anh ta bước vào cửa hàng hoặc mang lại cảm giác thoải mái khi lên chuyến bay mà hành khách không cần phải xuất trình giấy tờ. Chúng tôi xử lý dữ liệu sinh trắc học một cách cẩn trọng, không lưu trữ hoặc chuyển giao chúng, chỉ làm việc trên cơ sở hạ tầng của khách hàng.
Next year, in cities across the world, expect to have your face scanned for levels of aggression. NtechLab, a Russian facial recognition company best known for the FindFace app once labelled the harbinger for the end of online privacy, says it’s currently testing «aggression detection» tech with plans for a full rollout to its surveillance partners and customers in 2021. To help it along the way, it’s just received $ 15 million from two sovereign wealth funds — one the Russian Direct Investment Fund, the other a mysterious, unnamed Middle East partner.
The biometric facial recognition and video analytics system developed by NtechLab gives Moscow’s vast network of public cameras impressive capabilities such as high accuracy for people with different skin color and people wearing masks, and continuous identification through silhouette tracking, according to NtechLab Head of R&D and Co-founder Artem Kukharenko.
Facebook has revealed the winners of a competition for software that can detect deepfakes, doctored videos created using artificial intelligence. Third place went to Azat Davletshin, a senior deep learning engineer at the Russian company NtechLab, which is known for its work on facial recognition.
Some vendors and users of facial recognition say the technology works well enough on masked faces. «We can identify a person wearing a balaclava, or a medical mask and a hat covering the forehead,» says Artem Kuharenko, founder of NtechLab, a Russian company whose technology is deployed on 150,000 cameras in Moscow. He says that the company has experience with face masks through contracts in southeast Asia, where masks are worn to curb colds and flu.
The system can also be used for contact tracing, allowing police to follow an infected person’s movements over previous days, said Artyom Kukharenko, the head of research and development at NtechLab, the primary developer for the system. Kukharenko said the system can complete a search in under 10 seconds and that it largely works even when people are wearing face masks by identifying them by their eye line.
Many dating site and app operators want to ensure the authenticity of the people signing up for their services because, unfortunately, a significant number of online daters have been catfished by scammers pretending to be someone they’re not. Dating platforms can help give users more peace of mind thanks to FindFace, a facial recognition software that can authenticate user photos and videos. Unlike similar software, FindFace can identify users in databases of thousands — or millions — of faces.