Automated video surveillance system using neural networks for object recognition

Abstract

The uniqueness of the developed automated system lies in the use of technologies based on neural networks, which allows the equipment to use the “Deep Learning” effect. Considering the unfavorable epidemiological situation, thermal equipment is integrated into the automated system which enables to carry out thermometric measuring when visiting the enterprise. The advantages of this system are such as the following: monitoring the integrity of the protected perimeter, organization of time tracking and organization of preventive measures (COVID).