VisionLabs comprehensive security solutions to be scaled to over 60 schools and universities in Russia

Nov 22, 2021

VisionLabs (part of the Sber ecosystem), a world leader in machine learning, will enhance the security of over 60 schools and universities in Russia using computer vision technology. The solutions are already being applied in 20 educational institutions in Moscow, Moscow Region, St. Petersburg, Nizhny Novgorod, Perm, Novosibirsk, Vladivostok, and other cities of Russia.

The first educational institutions to serve as VisionLabs projects in the digitalization of education were Far Eastern Federal University, Kazan (Volga region) Federal University, and Tomsk State University, as well as the following innovative schools: Khoroshevskaya Shkola, School 21, and Engineering and Technology School 777. Following the successful comprehensive integration of its projects, VisionLabs plans to complete around 40 more projects by the end of the year.

A key issue when creating modern infrastructure for schools and universities is security. There are several hundred to tens of thousands of people on campus every day. Innovative technology is necessary to provide a comfortable environment for them.

The existing systems at universities and schools are often outdated and have a number of vulnerabilities: lack of automation of monitoring and access systems, insufficient video surveillance in critical areas, significant influence of the human element.

VisionLabs solutions help reduce the load on security staff, with intelligent computer vision systems independently analyzing the video stream, and do not require an operator's constant attention. When a specific incident is detected, the system notifies the security staff. This reduces security costs by up to 30% and response time from minutes to 15 seconds.

VisionLabs designs technology for educational institutions in several main areas:

  • an integrated access control and management system with facial biometrics
  • non-contact temperature measurement for detecting fever
  • intelligent video analytics capable of detecting suspicious behavior and potentially dangerous situations: a person lying on the ground, in a shooter position, or with raised hands, as well as fire/smoke
  • facial recognition payment in cafeterias and at refreshment stands and vending machines to improve the convenience and reliability of payment services.

The solutions are based on a unified computer vision platform that helps seamlessly scale the system, add new services, and manage them from a common interface. It also addresses the issue of the inefficiency of business processes at schools and universities by collecting the following data: attendance, rush hour, and late arrivals.

In most scenarios, such as those involving temperature measurement, facial recognition payment, and access control, the platform recognizes a person if their data is in the database. The exceptions are smoke and pose recognition scenarios: these analytics are implemented on cameras with different characteristics. If necessary, participants in such incidents can be identified by the nearest camera with facial recognition.

Stanislav Kuznetsov, deputy chairman of the executive board, Sberbank:

“The latest technology and the vast experience of our colleagues from VisionLabs allow us to implement computer vision systems on an industrial scale. The range of applications for such systems is very wide. Integrating these solutions into the security systems of educational institutions is very important, as it significantly improves the response time in cases of emergency, restricts access to schools and universities for unauthorized persons, and enables automatic temperature measurement, not to mention convenient features like using facial recognition to pay for meals if someone does not have cash or their bank card on them.”

Dmitry Markov, CEO, VisionLabs:

“The digitalization of socially important facilities such as schools and universities requires a comprehensive approach. Point solutions do not enable us to build an effective internal infrastructure. That is why the VisionLabs team has developed an ecosystem of products for educational institutions that use computer vision to enhance comfort and safety on campus.”