NtechLab Multi-object video analytics platform

NtechLab Multi-object video analytics platform

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25/12/2023

The start of a new year is the perfect time to dream, make plans and bring your boldest ideas to life.

Let the upcoming year be the most prosperous and successful one for you yet.

We wish you to always be surrounded by the people ready to support you, as well as by the loyal and reliable business partners, who you can confidently work with.

As always, we are looking forward to continuing our cooperation with you.

Best wishes,
The NtechLab team.

08/08/2023

NtechLab has supplied a system to 220 cities in India.

These systems will be used to conduct exams in schools, particularly to check attendance and to exclude cases of passing tests by another person or falsifying results.

https://www.tellerreport.com/news/2023-08-03-russian-ntechlab-has-delivered-a-face-recognition-system-to-220-cities-in-india.H1WYfEjFj3.html

Анапа представила «Купол» на конференции «Цифровая индустрия промышленной России» 30/06/2023

In a year of using the Dome complex with NtechLab recognition technologies, there has been a strong trend in crime reduction. Anapa, a popular Russian resort which annually hosts up to 5 million tourists, was able to markedly increase the level of safety and comfort for both residents and vacationers.

"The facial recognition system provides invaluable assistance to law enforcement," said Anapa Mayor Vasily Shvets.

Intelligent video surveillance complex covers the beach area, as well as educational, cultural, and sports facilities. This allows not only responding quickly to incidents, but also working with the general improvement: prevent traffic jams, track down lost children, control fires, deal with illegal trade, spontaneous dumps, and other violations.

The success of Anapa inspired other resort centers. Currently, the hardware and software video surveillance complex has already begun to roll out in Sochi, the host city of the 2014 Winter Olympics.

Анапа представила «Купол» на конференции «Цифровая индустрия промышленной России» В рамках VIII конференции ЦИПР 2023, состоявшейся в Нижнем Новгороде, начальник управления информати...

Brazilian thief 'taped victims' photos' on DUMMY for bank loans 26/06/2023

A man was arrested in Brazil for using customers' photos to bypass the facial recognition login in a mobile banking app. He allegedly used the pictures to gain access to their accounts and obtain loans, reported the Daily Mail.

The majority of modern facial recognition technology incorporates anti-spoofing or liveness detection systems. A liveness detection system is a technology designed to verify that a biometric sample, such as a facial image, is obtained from a living person and not from a spoofed or fake source.

Active liveness systems require the user to perform an action, such as blinking or smiling, to verify their identity. Passive liveness systems, on the other hand, use advanced technology to detect signs of life without requiring any action from the user.

The global testing hub for liveness detection systems is iBeta lab. They evaluate the systems' effectiveness in preventing various forms of spoofing, including videos, photos, 2D masks, and 3D masks, whether they are printed or made with lifelike material.

NtechLab’s facial recognition technology has cleared all tests conducted by iBeta lab with the highest accuracy and a zero-error rate.

https://www.dailymail.co.uk/news/article-12210813/Brazilian-thief-taped-photos-victims-faces-DUMMY-bypass-facial-recognition.html

Brazilian thief 'taped victims' photos' on DUMMY for bank loans A 34-year-old thief was busted in Brazil for taking out fraudulent bank loans by attaching victims' photos to a dummy in order to bypass the bank's mobile app facial recognition sign in option.

21/02/2023

We are proud to share some great news with you. NtechLab’s Liveness identity fraud prevention technology has once again proved its high security and passed PAD (Presentation Attack Detection) Level 2 testing at the reputable iBeta Quality Assurance laboratory.

During the test our algorithm successfully resisted various forms of spoofing with the presentation of video, photos, two- and three-dimensional masks and distinguished a fake from a real person, showing a zero-error rate, this confirming compliance with ISO/IEC 30107-1 and ISO/IEC 30107-3 standards.

The approval of the security of our facial recognition technology by an independent lab demonstrates excellent prospects for its usage in areas where reliable identity verification is critical - government electronic services, transaction processing, biometric payment, and automated border control.

Test Confirmation Protocol:https://ntechlab.com/wp-content/uploads/2023/02/230123-NTechLab-PAD-Level-2-Confirmation-Letter.pdf

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