Learn how NtechLab’s technological superiority was applied for control of self-isolation compliance of COVID-19 patients in Novosibirsk.
As the world’s leading facial biometrics company, we focus on quality and always meet the requirements of our clients and partners, whether it is a small-scale face detection project with just a couple of cameras or a full-blown security system able to recognize and match an image against a multi-billion database. With the award-winning code based on building a feature vector out of the image from the camera, we can also help companies that need to enhance their security without replacing existing hardware.
Here you will find our fulfilled face recognition projects complete with a thorough implementation description and results.
CEO of a large construction company shares his experience in establishing the work of construction crews using facial recognition.
Learn how to improve customer service in entertainment venues with video analytics.
The tower of ministries fully protected by recognition algorithms in another successful access control project.
Pre-trip medical check-ups at manufacturing facilities are even faster with the help of face recognition built into the systems deployed by MedPoint24.
Visitor analytics using biometrics in retail outlets is one of the most effective ways to learn more about customers without generating additional friction.
NtechLab’s high-precision recognition algorithms fit perfectly into Borlas’ solution development paradigm. With high efficiency and fine-tuning, NtechLab’s algorithms are best suited for cloud-based projects and offer a number of advantages over the competition.
250 cameras in Tyumen city surveillance have already been equipped with FindFace technology. The introduction of the joint innovative solution makes Tyumen one of the leading regions in the latest digital technologies implementation for public safety creating a favourable environment for citizens.
FindFace Multi made it possible to promptly recognize and detain nearly 100 individuals listed in databases containing some 50,000 offender photographs.
A one-of-a-kind video analytics solution was created in conjunction with the Department of Information Technologies to integrate with Moscow’s video surveillance system.