Kipod cloud introduces State Monitoring System for Public Safety

Kipod has demonstrated a new cloud platform of the State Monitoring System for Public Safety which can be considered the most…
Kipod cloud introduces State Monitoring System for Public Safety

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Kipod cloud introduces State Monitoring System for Public Safety

Kipod has demonstrated a new cloud platform of the State Monitoring System for Public Safety which can be considered the most ambitious government project of all time to fight and prevent terror and crime in the Republic of Belarus.

A global video surveillance system with an artificial intelligence engine shall be deployed across the country and connect about 400 000 cameras to 100 000 users from police, motor inspection, state security service, custom authorities and other services.

The State Monitoring System for Public Safety (SMS), unlike traditional video management systems, provides important carrier class features:

  • Instant video content search across big data from any web browser and mobile device
  • Scalability beyond 1M users, 1M cameras and 1M GB (1 exabyte) video storage
  • Tier 3 availability with full redundancy and background software updates
  • Open source software infrastructure (Linux, Kubernetes, Cassandra and Ceph)

Kipod cloud introduces State Monitoring System for Public Safety

Kipod has demonstrated live video monitoring and forensic tools of the cloud platform in the urban environment of the city of Minsk. Cutting edge video and audio recognition technologies based on Deep Learning Neural Networks have been presented, including face recognition, number plate recognition and vehicle identification, human behaviour video analytics and sound recognition (audio analytics). Such system would allow to take government security on the whole new level and enable the operators to timely react on alarm events and within few minutes search data archive to retrieve necessary information.

Dr Nikolai Ptitsyn, Kipod’ CEO, said:

“The Kipod platform revolutionises urban CCTV using the cutting edge cloud and machine learning architecture. Authorised users from different organisations can quickly search millions of gigabytes of video content in a very simple way, like they search the Internet.”

To support it with some numbers, Technavio’s analyst predicts, “the global video surveillance as a service market to grow steadily at a CAGR of over 28 percent” and also suggests that the market will exceed $6 billion by 2020 (Global Video Surveillance As A Service Market, 2016, Technavio).

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