Video analytics is the first step to a company's digital thinking

As part of the 2019 Video Technologies for Business conference that was organized by the CNews portal on October 15, a Russian IT service provider, Center 2M, shared how it created smart video surveillance systems in a business environment.
Event participants discussed crucial problems and highlighted essential drivers of the video surveillance market growth. In particular, they came to the conclusion that, along with the decrease in equipment costs, the key factor influencing the choice of video systems was the option to automate data processing, including using artificial intelligence technologies, and information retrieval.
The Center 2M CCO Aleksey Kasatkin made a presentation to event participants on Video Analytics as the First Step in a Company's Digital Thinking, where he told step-by-step about creating models and choosing a video analytics system scenario for particular types of business.
Right now, the CenterVision industrial video analytics system has several modes, due to which a neuronet can track safety violations. The system transmits information about them, monitors the status of the grounds, as well as warns of crowds (in lines) in real time. All operating scenarios have already been tested: the company has been running a number of pilot projects at large corporations and municipal companies in Russian regions since 2018.
According to the company representative, video analytics is becoming a more and more popular product. Companies often consider it as the first step in building their own smart video surveillance system. For instance, deployment of the solution on hard-to-reach grounds allows digitalizing areas that have never yet been available for monitoring. The option to continue teaching the neuronet about individual needs ensures that the company has the flexibility to adapt to quickly changing business conditions.
«If, at first, we had to develop a scenario for each client separately, now we have a number of ready-made solutions that make the system functionality check and pilot project deployment significantly easier. Naturally, preparation for each project still takes a certain amount of time. For instance, we had to make over two thousand photos to teach the system to recognize snow accumulations on a particular territory. For now, technologies using computer vision and artificial intelligence are still growing. We hope, however, that, thanks to the Artificial Intelligence Development Strategy signed by the Russian Federation President last week, we will have the opportunity and further support to keep growing
— Aleksey Kasatkin, CCO, Center 2M

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