Acoustic detectionofstarlingsthroughartificialintelligence
| but.event.date | 26.04.2022 | cs |
| but.event.title | STUDENT EEICT 2022 | cs |
| dc.contributor.author | Zezula, B. | |
| dc.contributor.author | Marcoň, P. | |
| dc.date.accessioned | 2023-04-25T10:17:06Z | |
| dc.date.available | 2023-04-25T10:17:06Z | |
| dc.date.issued | 2022 | cs |
| dc.description.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. | en |
| dc.format | text | cs |
| dc.format.extent | 116-119 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings I of the 28st Conference STUDENT EEICT 2022: General papers. s. 116-119. ISBN 978-80-214-6029-4 | cs |
| dc.identifier.isbn | 978-80-214-6029-4 | |
| dc.identifier.uri | http://hdl.handle.net/11012/209305 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings I of the 28st Conference STUDENT EEICT 2022: General papers | en |
| dc.relation.uri | https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | CNN | en |
| dc.subject | spectrogram | en |
| dc.subject | starlings | en |
| dc.subject | Rasspberry Pi | en |
| dc.subject | Artificial neural network | en |
| dc.subject | microphone array,detection of bird singing | en |
| dc.title | Acoustic detectionofstarlingsthroughartificialintelligence | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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