Real-Time Wideband Acoustic Signal Processing for Fish Counting - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

Real-Time Wideband Acoustic Signal Processing for Fish Counting

Gabriel Vasile
Pascal Bellemain
Guy d'Urso
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Eric de Oliveira
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Résumé

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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Dates et versions

hal-01935323 , version 1 (26-11-2018)

Identifiants

  • HAL Id : hal-01935323 , version 1

Citer

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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