Publication result detail

Acoustic detection of starlings through artificial intelligence

ZEZULA, B.; MARCOŇ, P.

Original Title

Acoustic detection of starlings through artificial intelligence

English Title

Acoustic detection of starlings through artificial intelligence

Type

Paper in proceedings (conference paper)

Original Abstract

To protect the vineyards from starlings is very costly and ineffective with the available resources. In my work, I have designed a detection module which consist of four microphones, each one is directed to the cardinal point and based on the intensity of sound, the module will provide the information about the direction where the flock is located, in the vineyard that passes to the control module and scares the flocks. The detection module processes the signal in a Raspberry Pi 4 single board computer using an artificial neural network algorithm.

English abstract

To protect the vineyards from starlings is very costly and ineffective with the available resources. In my work, I have designed a detection module which consist of four microphones, each one is directed to the cardinal point and based on the intensity of sound, the module will provide the information about the direction where the flock is located, in the vineyard that passes to the control module and scares the flocks. The detection module processes the signal in a Raspberry Pi 4 single board computer using an artificial neural network algorithm.

Keywords

CNN, spectrogram, starlings, Rasspberry Pi, Artificial neural network, microphone array,detection of bird singing

Key words in English

CNN, spectrogram, starlings, Rasspberry Pi, Artificial neural network, microphone array,detection of bird singing

Authors

ZEZULA, B.; MARCOŇ, P.

RIV year

2022

Released

26.04.2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6029-4

Book

Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers

Edition

1

Pages from

116

Pages to

119

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf

BibTex

@inproceedings{BUT178501,
  author="Benjamin {Zezula} and Petr {Marcoň}",
  title="Acoustic detection of starlings through artificial intelligence",
  booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers",
  year="2022",
  series="1",
  pages="116--119",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf"
}