Wildlife Tracking System

but.event.date29.04.2025cs
but.event.titleSTUDENT EEICT 2025cs
dc.contributor.authorZdražil, Jakub
dc.contributor.authorPaluřík, Pavel
dc.date.accessioned2025-07-30T10:03:08Z
dc.date.available2025-07-30T10:03:08Z
dc.date.issued2025cs
dc.description.abstractThe aim of this work is to design a battery-powered IoT device to be placed on snap traps for wildlife trapping. The use of this device aims to simplify and streamline the work of the forest administration. The device, whose functions are controlled by an ESP32 microcontroller, is connected to the network using NB-IoT technology, specifically CatM-2 technology and the corresponding SIM card. This allows the device to operate seasonally and without the need to pay flat fees, as is the case with competing devices. The device also allows the recognition of captured animals based on their weight, which will reduce the number of incorrect trap triggers and thus allow the forest management to capture only a narrower range of animals. At the same time, however, unlike devices that take photographs or videos, the amount of data to be transmitted is reduced.en
dc.formattextcs
dc.format.extent80-83cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 31st Conference STUDENT EEICT 2025: Selected papers. s. 80-83. ISBN 978-80-214-6320-2cs
dc.identifier.doi10.13164/eeict.2025.80
dc.identifier.isbn978-80-214-6320-2
dc.identifier.issn2788-1334
dc.identifier.urihttps://hdl.handle.net/11012/255323
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 31st Conference STUDENT EEICT 2025: Selected papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_2.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectWildlifeen
dc.subjectsnap trapen
dc.subjectIoTen
dc.subjecthardware designen
dc.subjectLTE CatMen
dc.subjectNB-IoTen
dc.subjectESP32en
dc.titleWildlife Tracking Systemen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs

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