The monitoring system of hazardous technological objects based on unmanned aerial vehicles

Abstract

The paper describes the system for monitoring of hazardous technological objects, which based on unmanned aerial vehicles. The feature of the system is the using of the intelligent computer vision subsystem in which hardware-implemented a convolutional neural network based on a system-on-a-chip. This subsystem recognizes objects of the earth’s surface and made decision about incidents at the monitoring area in real time. It also has service-oriented software architecture for ground- based system components. The paper presents results of the research of the required resources of a field-programmable gate array for implementation of error-correction encoder-decode based-on-board.