Application of a Convolutional Neural Network for Detection of Ignition Sources and Smoke

Ilya R. Aliev, Vitalii A. Pavlov, Sergey V. Zavjalov, Yekaterina Sadovaya

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The article discusses various methods for detecting ignition sources on aerial photographs. An algorithm based on color filtering and biorthogonal wavelet transform and the Tiny-YOLOv3 convolutional neural network were chosen for research. For the study, training and test datasets were developed. According to the results of experiments, Tiny-YOLOv3 exceeded the algorithm based on color filtering and biorthogonal wavelet transform in detection accuracy. For image processing algorithm AP was 16%. For the Tiny-YOLOv3 with input layer size of 416 × 416, the detection accuracy (AP) of fire and smoke was 56.5% and 31.9%, respectively.

Original languageEnglish
Title of host publicationInternational Youth Conference on Electronics, Telecommunications and Information Technologies - Proceedings of the YETI 2020
EditorsElena Velichko, Maksim Vinnichenko, Victoria Kapralova, Yevgeni Koucheryavy
PublisherSpringer
Pages421-427
Number of pages7
ISBN (Print)9783030588670
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in a conference publication
EventInternational Youth Conference on Electronics, Telecommunications and Information Technologies - St. Petersburg, Russian Federation
Duration: 10 Jul 202011 Jul 2020

Publication series

NameSpringer Proceedings in Physics
Volume255
ISSN (Print)0930-8989
ISSN (Electronic)1867-4941

Conference

ConferenceInternational Youth Conference on Electronics, Telecommunications and Information Technologies
Abbreviated titleYETI
CountryRussian Federation
CitySt. Petersburg
Period10/07/2011/07/20

Keywords

  • Computer vision
  • Convolutional neural networks
  • Detection
  • Tiny-YOLOv3

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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