RSS
Логотип
Баннер в шапке 1
Баннер в шапке 2

Synes: Video analytical device

Product
The name of the base system (platform): Video analytics (projects)
Developers: Synesis
Branches: Trade
Technology: Video surveillance systems,  Systems of video analytics

The resident company of the Park of high technologies of Belarus - Synes LLC - developed the unique compact video analytical device which provides intellectual processing of video in the systems of security observation.

The device raises possibilities of the existing systems of security video surveillance: use of modern technologies of machine vision and artificial intelligence provides automatic recognition of the predeterminated disturbing situations in real time without participation of the operator. The innovation differs from foreign analogs in the high accuracy of recognition of situations, a possibility of adaptation to climatic conditions of Belarus, lack of mechanical parts (disks, fans).

The created video analytical device conforms to the international standard ONVIF and has international certificates of i-LIDS. Innovation can be integrated into the operating system of security video surveillance without replacement of the available equipment (cables, cameras, writer devices, monitors of the panel of security services).

The software and hardware tools delivered to Synes allow:

  • Count number of the visitors who are entering and leaving shop or department of shop
  • Define the number of people and time of their stay in queue
  • Perform monitoring of existence of activity of the cashier
  • Classify objects by their color for separation on type: visitor/personnel
  • Classify objects by their size for separation on type: adult/child

From Synes the complex of algorithms of machine vision and the artificial intelligence allowing a message video monitoring of objects without participation of the operator is the cornerstone of the video analysis. Use of the systems of a videmonitoring in trading floors helps the companies to obtain exact information on the number of buyers in each timepoint, routes of the movement, time of stay in shop, expectations in queue and to other indicators by time of day, days of the week, etc. This information obtained in online the mode and having high accuracy allows to solve more effectively problems of merchandising, management of promotion actions and discount programs, to carry out the analysis of loading of cash points, to analyze suspicious situations, to plan more rational organization of new outlets and to transfer successful experience to all network.