Modular video analytics system (MSVA) based on computer vision for transport facilities and mass gathering locations
Personal safety in public areas in the light of the growing number of acts of aggression and terrorism is also important. The problem can be solved by equipping crowded or hazardous locations with a Modular Video Analytics System (MSVA) with artificial intelligence that enables automatic monitoring of the sanitary conditions in transportation infrastructure facilities and public spaces, improved safety and convenience of people.
Artificial Intelligence And Digital Services
Big data storage and analysis
1 year, taking into account the development of design documentation, construction, installation, commissioning activities.
MSVA development is complete and the system is ready to be deployed at a wide range of infrastructure facilities. The system operates on 4 lines of the Moscow Railway: 13 stations of the Yaroslavskoye line, 19 stations of the Kazanskoye line, 11 stations of the Paveletskoye line and 19 stations of the Kievskoye line. The system is modular and can be adapted and scaled to suit almost any local conditions and the Customer’s needs.
The intelligent video analytics system based on high-resolution cameras monitors the sanitary, technology-related, and environmental situation at transport infrastructure facilities and improves people’s safety. The system includes a sound warning device that helps reduce the rate of injuries at high-risk facilities (e.g., railway transport facilities).
First place in the Information Technology category of the Russian Railways competition for the best quality of rolling stock and complex technical systems in 2023.
Certificates of state registration of software: No. 2019617517 dated 17.06.2019. MSVA intelligent video processing software. Avtaev D.I., Dolgiy A.I., Kudyukin V.V., Khakiev Z.B. No. 2020619780 dated 25.08.2020. Software for automated collection and analysis of readings from a railway platform condition sensor. Avtaev D.I., Dolgiy A.I., Kudyukin V.V., Khakiev Z.B., Khatlamadzhyan A.E.
