NtechLab Joins Techsauce Global Summit in Bangkok to Exhibit Its Acclaimed Face Recognition Solutions, Following a 122% Compound Annual Growth Rate

World-renowned video analytics solutions expert NtechLab (www.ntechlab.com), with its face recognition technology based on artificial intelligence, announced its participation in the Techsauce Global Summit (https://summit.techsauce.co/) in Bangkok from August 26-27, 2022.

NtechLab is represented in Techsauce Global Summit booth #MF-02 by Liana Meliksetyan, Chief Commercial Officer, and Dmitry Tameev, Head of Business Development & Sales (Asia-Pacific).

NtechLab currently operates in twenty-three countries across the Middle East and North Africa, South and Southeast Asia, and Europe. More than 400,000 cameras globally are connected to software with NtechLab’s face recognition algorithms.

In 2022, NtechLab entered the Financial Times 1000 list of Europe’s fastest growing companies. It is the first year NtechLab has made it onto the list, earning a coveted 102nd place due to a 122% compound annual growth rate between 2017 and 2020.

“In 2021, NtechLab continued to show rapid development within all sectors. However, increase was most prominent within the B2B sector, where we recorded a more-than-respectable 202% growth compared to 2020,” said Liana Meliksetyan, Chief Commercial Officer at NtechLab.

“As a leading face recognition software company, NtechLab has established a worldwide network of trusted partners who implement its technology. In every country it operates, NtechLab works in strict compliance with local laws and regulations, and thoroughly vets its clients’ compliance,” said Dmitry Tameev, Head of Business Development & Sales (Asia-Pacific) at NtechLab.

In 2020, following a $15 million investment from an international consortium of sovereign wealth funds—including those from the Middle East—the company announced the opening of its Gulf representative office in Abu Dhabi.

In 2021, NtechLab topped the Face Recognition Vendor Test (FRVT) conducted by the National Institute of Standards and Technology (NIST) of the US Department of Commerce.


NtechLab’s flagship product is the FindFace platform for multi-object video analytics and biometric identification. Its innovative technology detects faces in live video feeds; cross-referencing likenesses against watch lists and sending notifications to the service user when a match is found. With its advanced face recognition algorithm, user-friendly interface, and capability for rapid deployment, FindFace is ideal for solving national and business security issues.

Ad-ons and additional features are available to clients, such as the new FindFace silhouette recognition feature. This algorithm not only identifies a person’s silhouette, but also tracks individual’s further movements, including through crowds.

NtechLab’s face recognition system delivers nearly absolute precision in ideal conditions, reaching 99.99% accuracy at 0.1 seconds detection speed. The company’s algorithms find faces and provide highly accurate results, even if there are significant age-related changes, a beard, mustache, glasses, a medical mask, or any other means of partial face concealment. The technology can work with data from real-time video streams or large photo and video archives, supporting an unlimited number of video streams and face database entries.

The Western Railway, one of the busiest railway networks in India, commissioned 470 video cameras featuring NtechLab real-time face recognition technology. The system is used to shape strategy; for instance, by counting passenger traffic at any given time on the network. It is also used to identify criminals and search for missing persons.

NtechLab was also chosen as the technology partner of the Russian pavilion at Expo 2020 in Dubai, United Arab Emirates. NtechLab’s system enabled the Russian pavilion to collect analytics on visitor numbers, including segmentation based on gender and age, as well as calculating the average length of visit time and whether attendees are new or regular visitors.


  • Over 50,000 crimes have been solved.
  • More than 5,000 missing people have been found.
  • Burglaries and car thefts have been decreased by 85%.
  • Solved-murder rates have climbed to 92%.
  • A $1 million stolen painting was recovered in 24 hours.
  • 500,000 shoplifting cases have been prevented, saving more than an estimated $10 million.
  • Seaport operations have been transformed with the help of video analytics, artificial intelligence, and big data.
  • Face recognition payment systems have been implemented for retail & e-commerce.
  • A system has been implemented to alert parents when kids come to school and leave for home.
  • Blacklist identification and VIP recognition has been implemented for casinos.

Source: NtechLab