Synes of Synesis
Since 2007
Russia
Central Federal District of the Russian Federation
Belarus
Moscow
123100, Mantulinskaya St., 24
Top managers:
Bondarenko Sergey
Shatrov Alexander Andreevich
Mishin Denis
Ptitsyn Nikolay Vadimovich
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Owners
Synesis (Synes) develops platforms of the smart city, an access control system, products for event management and the organizations, messengers and online games. Competences Synesis are cloud computing, artificial intelligence, chat-bots, storage and processing of Big Data, cyber security.
The company acts as the developer of the systems of intellectual video surveillance and a business intelligence on the basis of computer vision. Realizing video analytics potential, products allow to register data on movements of people and vehicles in sight of the camera and also to reveal different situations without participation of the operator. Results of work of video analytics are used by korportivny users for operational notifications, search in archive, visual audit of business process and preparation of analytical reports. Products of Synes are well integrated into the geographically distributed systems of city or corporate video surveillance.
Products & Services
Main products of Synes:
- Kipod, open platform of video analytics;
- Tsefey, a video analytics complex for protection and security;
- Kassiopea, a video analytics complex for business and transport;
- Perseus, service for production management and control of technology process;
- CasLine, the counter of visitors for the sphere of trade.
The system of intellectual video surveillance Kipod is the cornerstone of industry solutions of Synes. Unlike the normal systems which are initially designed for "manual" observation, Kipod does not require permanent attention of the operator and is optimized under event handling of video analytics. Products and solutions are used on objects of transport, trade, industrial, social and residential infrastructure.
Main advantage of these products consists that they are designed with focus on video analytics, but not on manual video surveillance that minimizes a human factor at all analysis stages of data and decision-making. Besides products use an open architecture based on a kernel of Linux and the international ONVIF interface.
The company created and commercialized:
- the first-ever specialized operating system for processing of a set of channels of video in real time;
- the first-ever built-in video analytics on the signal processor approved by i-LIDS as the system of primary detection for formation of operational alarms and for entry of events in applications of video surveillance of a sterile zone;
- the first-ever video recorder with support of the ONVIF NVS interface (Profile G);
- the first-ever delivery service of push-notifications on mobile devices with video data;
- ONVIF library for the transmitter and the client of network video which are licensed today by leading manufacturers.
History
2020: The European Union imposed sanctions against the Belarusian developer of the systems of video analytics
On December 17, 2020 the European Union accepted a so-called third sanctions packet concerning authorities of Belarus and also the companies. Included in the list Synesis IT company, Sputnik reports.
Providing the platform to the Belarusian authorities which can distinguish persons of the protesting people became the basis for inclusion in "black list".
Meanwhile in Synesis consider that there is no legal basis for hit under sanctions. Therefore the company will appeal against the solution of the European Union which reason as believe in the companies, there was speculation in media and social networks.
Developers of the Belarusian company, resident Park of high technologies, claim that the system of video analytics created by them can conduct only search of previously set persons in a video flow with the connected online surveillance cameras. As a rule, it is about the offenders, criminals who are wanted of missing people. However the platform is not capable to identify people on videos.
The project of Kipod company runs for quick search in big arrays of video data and also informs on offenses using algorithms of machine learning.