Central regions | Technology & innovation

Computer vision technologies come to Moscow subway

20 Oct '21
Resident of the Skolkovo Foundation (in coordination with VEB.RF), VisionLabs, one of the world leaders in machine learning, has become a technology partner of the Face Pay project in the Moscow metro. With the help of computer vision technologies, passengers can pay for travel by face - without using travel cards, bank cards or a mobile phone.

The system has been tested in pilot mode since the beginning of 2021, and today it has become available to all passengers throughout the metro.

To connect the service, you need to download the Moscow Metro mobile application to your phone and go through a short registration procedure a few hours before the trip - take a selfie, enter your bank card details with the means to pay for travel and the Troika card. VisionLabs technology will encrypt the received face image into a biometric descriptor, and the system will bind it to a bank card. To pay for the fare, the passenger needs to enter the area next to the turnstile, marked with a black circle, and look into the camera. The recognition process takes about 1-2 seconds, after which the turnstile flaps will open and the required amount will be debited from the card. This method of fare payment will not become mandatory - other options for fare payment will also remain.

The Face Pay system recognizes a person even if the face is partially covered. VisionLabs is doing a lot of work on the formation of datasets on which neural networks are trained. Therefore, the company's technologies are resistant to external factors and do not lose recognition accuracy in the presence of glasses, medical masks and hats.
Kirill Kayem, Senior Vice President for Innovation, Skolkovo Foundation: “Russia has outstanding competencies in the field of information technology. Areas related to artificial intelligence are developing very quickly and successfully. In particular, computer vision teams traditionally win various international competitions. VisionLabs, according to the results of independent tests by the American National Institute of Standards and Technology (NIST), is one of the three leaders in the world in facial recognition. That is why the company's solution in the field of biometrics is used by the country's leading financial institutions. And the implementation of the company's developments in the metro will make life for Muscovites easier and more convenient. The talented VisionLabs team became a Skolkovo resident in 2012 and, in fact, grew together with the Foundation. We are pleased to see how the company is becoming an international leader. ”
The new face-to-face payment system will help not only to simplify the procedure for passing through the turnstiles, but also to get through the turnstile lines faster during peak hours, when the number the number of passengers increases markedly. Passengers will no longer have to look for a pass, thereby creating queues - Face Pay will help solve this problem. In case of difficulties in the operation of the service, passengers can write to the official metro chatbot in Telegram.
Dmitry Markov, CEO of VisionLabs: “Within the framework of the smart city infrastructure, face-to-face payments are becoming an important tool for providing convenient and safe services. In addition, in a pandemic, contactless technologies have become even more in demand. VisionLabs has accumulated extensive expertise in the implementation of such projects. On the basis of our developments, a glance payment was launched at self-service checkouts in one hundred and fifty Perekrestok stores, Pyaterochka and Magnit stores, Papa John's pizzerias and other public spaces.”
In addition , the use of computer vision increases the security of the payment process. The biometric identifier cannot be lost or forgotten, which means that the possibility of its use by third parties is excluded. Liveness algorithms help to protect against spoofing attacks, which solve the problem of verifying a living person and counteract non-software attacks in the form of masks, images or videos on the phone.
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