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

Ivan Zoev, Nikolai Markov, Svetlana Ryzhova

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number03005
JournalE3S Web of Conferences
Volume223
DOIs
Publication statusPublished - 21 Dec 2020
Event2020 Regional Problems of Earth Remote Sensing, RPERS 2020 - Krasnoyarsk, Russian Federation
Duration: 29 Sep 20202 Oct 2020

ASJC Scopus subject areas

  • Environmental Science(all)
  • Energy(all)
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'The monitoring system of hazardous technological objects based on unmanned aerial vehicles'. Together they form a unique fingerprint.

Cite this