Facial biometrics made it possible to solve the problem of unauthorized persons’ intrusion and establish centralized control over a variety of remote facilities.
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.
Our customer, the operator of several state-of-the-art casinos in Southern Asia, was committed to providing business safety and lower costs.
A large financial company has implemented FindFace technology to prevent the commission of fraudulent schemes when renting cars and construction equipment.
The operator of one of India’s busiest rail networks uses video analytics at stations in Gujarat and Maharashtra, including the city of Mumbai, to identify wanted criminals and missing persons
A system integrator in Côte d’Ivoire, Ivoire Biométrie, has connect 24 cameras in Abidjan schools to FindFace Multi (2 cameras in each of 12 schools)
Integration of the face recognition system at a casino entrance to prevent access of unwanted visitors. People from the blacklist are not allowed to enter the casino due to high accuracy and speed of face recognition.
With NtechLab technology, the authorities of Almetyevsk managed to organize regular investigation work with video data from access surveillance cameras on residential buildings.
Learn how NtechLab’s technological superiority was applied for control of self-isolation compliance of COVID-19 patients in Novosibirsk.
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.