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master's thesis
Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:471234
Filipović, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Filipović, I. (2024). Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:471234

Filipović, Ivan. "Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:471234

Filipović, Ivan. "Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:471234

Filipović, I. (2024). 'Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:471234

Filipović I. Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:471234

I. Filipović, "Sustav za daljinsko otkrivanje sječe šuma pomoću zvuka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:471234

Metadata
TitleSustav za daljinsko otkrivanje sječe šuma pomoću zvuka
Title (english)Remote deforestation detection system using sound
AuthorIvan Filipović
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberTvrtko Mandić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-15, Croatia
Abstract
Ovaj rad opisuje sustav za otkrivanje ilegalne sječe šume. Detekcija ilegalne sječe temelji se na zvučnim zapisima koji se s pomoću mikrokontrolera prikupljaju i obrađuju. Ako su zadovoljeni uvjeti i smatra se da je prisutna motorna pila, šalje se obavijest. Za prikupljanje zvukova koristi se mikrofon spojen na i2s sučelje, a za obradu snimki koriste se digitalni procesirajući blokovi MFE i MFCC kao i umjetna konvolucijska neuronska mreža. Slanje obavijesti šalje se putem LoRaWAN mreže korištenjem LoRa modema spojenog na SPI sučelje mikrokontrolera STM32H7A3VIT6. Uspješno je realiziran uređaj s točnošću predikcije od 93.91 % uz potrošnju ispod 10 μAh po periodu snimanja i klasifikacije.
Abstract (english)
This paper describes a system for detecting illegal logging. The detection of illegal logging is based on audio recordings that are collected and processed using a microcontroller. If the conditions are met and a chainsaw is detected, a notification is sent. A microphone connected to the I2S interface is used to collect the sounds, and digital processing blocks MFE and MFCC, as well as an artificial convolutional neural network, are used to process the recordings. Notifications are sent via the LoRaWAN network using a LoRa modem connected to the SPI interface of the STM32H7A3VIT6 microcontroller. A device with a prediction accuracy of 93.91% was successfully implemented, with a consumption of less than 10 μAh per recording and classification period.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:471234
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-10-12 20:34:40