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Face recognition system will appear in FEFU
The system is designed to conduct round-the-clock monitoring of visitors in the educational buildings of the FEFU campus. A complex of video surveillance cameras and servers for processing video streams and face recognition are deployed on the FASYSTEM platform. The platform is based on VisionLabs LUNA SDK technology and allows real-time recognition of people's faces, as well as matching them with the FEFU database.
“The recognition process takes place in several stages. The system captures the image of the face in the image and converts it into a set of unique characters - a biometric descriptor, which further compares the same descriptors from the loaded base of faces. The resulting descriptor cannot be converted back to the original face image, thus the system is as reliable and protected as possible from data theft, ”said Alexander Khanin, CEO of VisionLabs facial recognition technology.The work is structured in such a way that every time a person hits the camera lens, the FEFU Situation Center duty officer receives information about the people (name, place of work and photo) present in the downloaded database, as well as their current location. There is also the technical ability to create lists and divide people from the database into groups - for example, “students”, “teachers”, “administrative staff” and so on.
“Sberbank and FEFU are linked by a long experience of cooperation. For about 7 years, our department of modern banking has been working at the university, last year Sberbank became a key partner of one of the new programs of the School of Digital Economics - “Artificial Intelligence and Big Data”, whose students today participate in bank research projects. Supporting the project to equip the university with an innovative security system is a logical continuation of our relationship, ”said Dmitry Sukhoverkhov, Chairman of the Far Eastern Bank of Sberbank.