20 February 2021 — The Stavropol State Agrarian University (SSAU) became the first university in Southern Russia to deploy a biometric face recognition system from Speech Technology Сenter (part of the Sberbank ecosystem).
This was a joint project implemented by Sberbank and SSAU. For several years, Sberbank has been the partner of the university, including for the implementation of the SSAU campus project.
25 December 2020, Moscow — The Speech Technology Center (part of the Sberbank ecosystem) has begun to implement an intelligent speech analytics system to monitor the quality of service in the sales call centre of Samolet Group, a major developer in the Moscow region and one of Russia's Top 10 developers in terms of current construction volumes. Its project portfolio exceeds 15 million m2.
Speech Technology Center (part of the Sber ecosystem), together with the Moskovsky Bank of Sberbank and the team of Moscow Metro, introduced a chatbot for passengers. During testing in a focus group, the virtual text assistant automatically processed 75% of inquiries, without transferring them to human operators. From 17 November, the virtual assistant is running in commercial operations, where it achieved 88% automation. The bot is available through the Moscow Metro app.
2 December 2020, Moscow — Speech Technology Center and Raiffeisenbank have successfully migrated to a new version of speech analytics to monitor the quality of call centre services. The solution provides 24/7 assessment of the volume and thematic distribution of the centre's hotline calls and chat channels, enabling the transition from selective analysis of dialogues to an analysis of the entire flow of interactions for a specific period.
Speech Technology Center (part of the Sberbank ecosystem) has delivered its 70th project to implement the Smart Tracker FRS at transport facilities in Russia, confirming its leadership in the number of installations of this development in the country. Another implementation was the launch of the Smart Tracker FRS biometric system at the Bugulma Airport (Tatarstan).
This system is already installed at transport infrastructure facilities throughout Russia: metro, transport hubs, bus and railway stations. The solution is applied in Moscow, St. Petersburg, Sochi, Nizhny Novgorod, Saransk, Yuzhno-Sakhalinsk and other cities. The biometric system integrated into the video surveillance system allows verification and identification of individuals, helps identify offenders and organise preventive protection measures. The system also makes it possible to record places of increased congestion and build and download reports based on this information. Based on the information received, decisions can be made to improve passenger comfort, for example, to optimise traffic flows. The Smart Tracker FRS combines a high-quality algorithm, digital video identification technologies and an engineering approach worked out as part of implemented projects. The solution makes it possible to differentiate between the data of open and closed segments of a corporate security system and ensures that the system complies with the technical requirements of each facility, along with reliable data protection.
India is facing a strong demand for efficient and highly scalable remote customer identification and contactless authentication to replace traditional approaches with accurate face biometrics for better safety and barrier free access control.
Biometric technologies have already proven their effectiveness in a wide range of tasks during the pandemic — from remote customer identification to comprehensive national security systems based on facial recognition; their scope is constantly growing.
22 September 2020 — Speech Technology Center has implemented a biometric face recognition system in the School of Economics and Commerce building at the Siberian Federal University (SibFU) in Krasnoyarsk. The face recognition system is part of a large-scale campus project. Siberian Federal University is one of the top five campus projects in the country, and the face recognition system provided by Speech Technology Center is one of the first to operate at a Russian university campus.
17 September 2020, Moscow. Speech Technology Сenter has implemented an intelligent speech analytics system to monitor the quality of service in the call centre of ForteBank JSC, a leading bank in Kazakhstan. Speech analytics has enabled 24/7 monitoring of the quality of conversations conducted by call centre operators and facilitated a transition from random checks to complete the assessment of all conversations.
We want to invite experts for dedicated webinar August 27, 2020, 12:00 PM (GMT +3:00) Moscow for railway networks including Subways safety with the implementation of advanced face recognition solutions.
During the webinar Oleg Glebov, a global business development expert, will share unique experience based on the ongoing safe city and safe transport projects in Russia.
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