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Warianty tytułu
Języki publikacji
Abstrakty
Digitization and automation are transforming traditional systems for monitoring and managing objects in exteriors. Innovative farms are gradually moving in livestock management systems from paper reporting to integrated, shared and autonomous services throughout the livestock live-cycle. Although autonomous monitoring is a reality today, the benefits of autonomous monitoring by unmanned aerial systems (UAVs) for animal identification and authentication do not lie in the herd itself, but in what aerial systems can offer when operated and managed in an integrated ecosystem. At present, UAVs are little used in the agro sector as a concept “mobility-as-a-service” (MaaS), because farmers themselves in the real environment are not able to respond flexibly to technological innovations and adapt to the demand for monitoring and providing authentic data in real-time to the subsidy payment system. The focus of the paper is the presentation of a procedure targeted on design of an objects monitoring system in exterior according to defined parameters with selected main and specific data; taking in the account predefined parameters at the same time, the requirements for technological means and software with the support of machine learning for livestock identification as well as composition of selected technical equipment using the IoT concept with unique beacons for subsequent data processing in the reliable authentication methodology of every monitored objects are defined.
Słowa kluczowe
Rocznik
Tom
Strony
5--16
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
- University of Žilina
Bibliografia
- [1] Where IT and Business Meet. Unmanned Aerial Vehicle (UAV). [Cit.Nov.2018]. Available online: https://www.techopedia.com/definition/29896/unmannedaerial-vehicle-uav.
- [2] Seneši, N: Drones and permits required for their use [online]. [Cit.Dec.2018]. Available on the Internet: https://www.podnikajte.sk/zakonne-povinnosti-podnikatela/drony-povolenia-pouzivanie (in Slovak).
- [3] Pavlásek, P (2018): Dynamics of vehicle movement. Tutorials for engineering study program, Faculty of Electrical Engineering and Information Technology, University of Žilina (in Slovak).
- [4] Open Source Computer Vision [online]. [Cit.Feb.2019]. Available online: https:- //opencv.org/about/
- [5] Cascade Trainer GUI [online]. [Cit.Mar.2019]. Available online: http://aminah madi.com/cascade-trainer-gui/
- [6] Berger, W: Deep learning haar cascade explained [online]. [Cit.Feb.2019]. Available online: http://www.willberger.org/cascade-haar-explained/
- [7] Hudaček, D. (2019): Design and verification of a system for monitoring objects in exteriors using an autonomous flying device (drone). Thesis supervisor: Pavlásek, P., Faculty of Electrical Engineering and Information Technology, University of Žilina, Reg. No.: 28260620192006 (in Slovak).
- [8] Viola, P., Jones, M. (2001): Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, Kauai, HI, USA, 2001, pp. I-I, doi: 10.1109/CVPR.2001.990517.
- [9] What is a Bluetooth beacon? [Online]. [Cit.May.2019]. Available on the Internet: https://www.beaconstac.com/what-is-a-bluetooth-beacon.
- [10] Pavlásek, P (2021): Economic aspects of electromobility. Tutorials for engineering study program, Faculty of Electrical Engineering and Information Technology, University of Žilina (in Slovak).
- [11] Pavlásek, P (2019): Outdoor target object monitoring: UAV platform for real-time identification of livestock. Scientific Conference of the University of Žilina, December 10-13, 2019, Žilina, Slovakia (in Slovak).
- [12] Gáfrik, R. (2020): Design of a system for monitoring, identification and authentication of objects in exteriors using an autonomous aircraft (UAV). Thesis Supervisor: Pavlásek, P., Faculty of Electrical Engineering and Information Technology, University of Žilina, Reg. No.: 282660620201105 (in Slovak).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a554b8fc-05b2-498f-b161-80a6b780d6f2
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