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AROUND OUR CUSTOMERS’ NEEDS

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.

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Based on NtechLab recognition algorithms, the Brazilian company Unike Technologies provides a range of products for banks, retailers and the entertainment industry, designed to improve the speed of customer service and provide its quality.

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The organizers of the World Expo 2020 in Dubai installed the NtechLab facial recognition system to monitor compliance with safety measures and sanitary and epidemiological standards, count guests and analyze their demography.

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ApeironSpace digital hotel guarantees its guests that they will not meet a single person from the personnel. To check in you will need just to attach your passport to the scanner and look into the camera above the self-check-in kiosk.

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The mobile biometric identification complex is built on the base of a standard bus. Cameras located on metal detectors’ frames enable controlled entry to special events, deny access for unwanted visitors, and prevent offenses.

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Daily, the system successfully detects about 100 criminals. On the first day of implementing the face recognition system, 7 people from a wanted list were detained.

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Facial biometrics made it possible to solve the problem of unauthorized persons’ intrusion and establish centralized control over a variety of remote facilities.

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A large financial company has implemented FindFace technology to prevent the commission of fraudulent schemes when renting cars and construction equipment.

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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

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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)

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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.

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