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Real-Time Wideband Acoustic Signal Processing for Fish Counting

Gabriel Vasile 1 Pascal Bellemain 2 Guy d'Urso 3 Eric de Oliveira 3 
1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
GIPSA-DIS - Département Images et Signal
2 GIPSA-Services - GIPSA-Services
GIPSA-lab - Grenoble Images Parole Signal Automatique
Abstract : This paper proposes an IoT active acoustic system for fish monitoring with direct application in biodiversity preservation near hydropower plants and dams. The system employs a cost effective single board computer as central processing unit. The acoustic signal processing is performed at two levels: the first at the board level (embedded), to decide upon transmission of data to a server, and the server level to show the results of detection and the number of fish passages (acoustic signature analysis). The performance analysis of the proposed fish monitoring system is carried out during a four days experimental campaign in Chatou, France.
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https://hal.archives-ouvertes.fr/hal-01935323
Contributor : Gabriel Vasile Connect in order to contact the contributor
Submitted on : Monday, November 26, 2018 - 3:58:14 PM
Last modification on : Wednesday, November 3, 2021 - 5:56:09 AM
Long-term archiving on: : Wednesday, February 27, 2019 - 2:45:12 PM

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  • HAL Id : hal-01935323, version 1

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Gabriel Vasile, Pascal Bellemain, Guy d'Urso, Eric de Oliveira. Real-Time Wideband Acoustic Signal Processing for Fish Counting. OCEANS 2018 - OCEANS '18 MTS/IEEE. Healthy Oceans, Resilient Coasts, Robust Commerce… Strong Nations, Oct 2018, Charleston, United States. ⟨hal-01935323⟩

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