The system, developed by NtechLab, has been installed at 30 railway stations across the western Indian states of Gujarat and Maharashtra, and including the city of Mumbai. This is the busiest section of the railway network. Cameras will ensure simultaneous recognition of up to 50 people in a single frame.
NtechLab & FindFace
in the media
With the opening of an Abu Dhabi-based representative office and the introduction of its new product FindFace Multi, NtechLab has announced its expansion into the United Arab Emirates and Saudi Arabia.
NtechLab has released FindFace Multi, a detection technology that uses an advanced algorithm to recognize not only faces, but also bodies of people and cars. This update to its flagship product is a step change for security experts in their fight against crime and also an invaluable tool for commercial planners. Another distinctive feature is its ability to support many video streams and facial database entries, ensuring the system offers unrivalled scalability.
NtechLab, one of the global leaders in video analytics, today announced its entry into India launching a new tool, FindFace Multi. It detects faces and silhouettes of people, and cars, in real time video streams. The tool accurately counts people, checks faces against monitoring lists and notifies the user when matches are detected.
NtechLab announces the opening of local offices in two cities in the United Arab Emirates. In the UAE the company will be focusing on public sector, projects for the needs of the Ministry of Internal Affairs, banking sector and services for shopping malls and retail chains. The presence in Abu Dhabi and Dubai is expected to help NtechLab take up a significant share of the computer vision market in the UAE.
NtechLab is trumpeting its success in the recent Face Recognition Vendor Test (FRVT) from the U.S. National Institute of Standards and Technology (NIST), in which the company’s facial recognition algorithm was found to have the highest biometric matching accuracy ever in three different categories of the 1:1 Verification benchmark. The algorithm from NtechLab scored the lowest error rate in the Visa Photos, Visa Border and Border Photos categories, and second for the Mugshot Photos database. The company says it has also tested in the top three for efficiency in identifying people wearing masks.
NtechLab will provide a range of computer vision analytics capabilities to Fesco Transportation Group for use at its facilities to digitalize processes, according to a company announcement. Under an agreement reached at the TransRussia forum, Fesco and NtechLab will deploy various intelligent video analytics technologies at the Commercial Port of Vladivostok for vehicle license plate recognition, video monitoring of sea vessels, automatic visual container counting and other applications.
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.
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