Ensuring security and scalable remote monitoring on public transport is one of the key elements of the «smart city» strategy. High passenger traffic and peak loads, especially in conditions of provision and management of metro/subway or short-distance railways, today require more attention and evolution of technologies. It is not enough to provide just video recording and remote monitoring by the operator/security officer. For centralized situational centers on transport key monitoring tasks consists of quickly obtaining important and up-to-date information, actionable intelligence, the possibility of automating routine operations and increasing efficiency in the face of a shortage of personnel. It ultimately leads to the need for integration of biometric access control and real-time analysis based on specialized face recognition solution.
13 May 2020, Moscow – Speaker diarisation and speech recognition technology created by Speech Technology Center (part of the Sberbank ecosystem) was named the best at the international CHiME Speech Separation and Recognition Challenge (CHiME-6). The technology was highly acclaimed for its ability to recognise English speech from multiple microphones in a natural environment. Speech Technology Center showed the best test results in the most difficult track of the challenge, significantly outperforming the competitors.
Smart City topic are facing today several transformations especially affected global situation. Facial Recognition technology extremely important in such approaches like usage of advanced sensors, cameras, artificial intelligence and Internet of Things (IoT) devices to make urban areas safer and more efficient.
Smart Tracker FRS has been analysing images from more than 1,000 installed CCTV cameras on the island since 2016.
The system is a new healthcare initiative and in the first 2 weeks since its implementation in April has identified more than 100 potential spreaders of the virus who did not comply with the mandatory quarantine.
Ensuring security and scalable remote monitoring on public transport is one of the key elements of the «smart city» strategy. High passenger traffic and peak loads, especially in conditions of provision and management of metro/subway or short-distance railways, today require more attention and evolution of technologies.
Speech Technology Center, which is part of the Sberbank ecosystem, automates and improves the efficiency of its retail and e-commerce delivery and call center services by utilising intelligent speech technologies. The migration of speech analytics to the cloud changes the way Speech Technology Center expertise is delivered to customers: everything that was previously available to the enterprise segment is now available for SMB.
April 2, 2020, Moscow — ChatNavigator chat bot from Speech Technology Center, launched in the VTB mobile app, became the winner of the Call Center Guru Awards Crystal Headset® international program in the category “The Best Application of Robotization and Artificial Intelligence”.
23 March 2020, Moscow — Speech Technology Сenter experts have updated the Smart Tracker FRS biometric face recognition system, implementing the most actual cases for the current epidemiological situation.
20 March 2020, Moscow — Speech Technology Center has launched the Smart Tracker FRS, a biometric facial identification system, at the home stadium of FC Zenit, «Gazprom Arena». The system has been used since 29 February. It is installed on the turnstiles at the entrance to the first tier of the D stand, where the active fan sectors are located. With the launch of this project, Speech Technology Center has implemented the Smart Tracker FRS for the fourteenth time at a sports facility, which is proof of Speech Technology Center team's expertise and the solution's effectiveness.
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