In September NtechLab was proud to present FindFace Mutli, our Video Analytics and Biometric solution at #DSEI2021, the major international even for Defense and Security suppliers in the UK. We have discussed how the best of breed facial recognition solution from NtechLab could help the British transport police to track the vehicle plates of offenders.
NtechLab & FindFace
in the media
From August 30 to September 2, in Brasilia, the 4th Security Symposium was held. It is an event for the top-level executives of various Brazilian law enforcement agencies, intelligence agencies, and other organizations responsible for ensuring national security.
NtechLab sees India as one of the priority markets for video surveillance and facial recognition technology.
The systems seek to achieve a range of objectives: better identification of criminals, law enforcement use at railway stations, passenger check-ins at airports, biometric attendance at companies, and even student authentication mechanisms.
Analytics will help in crime detection, track missing persons and estimate passenger traffic at any time
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.
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.
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