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dc.contributor.authorHAAKSTAD, OLE HENRIK
dc.date.accessioned2021-10-29T08:01:15Z
dc.date.available2021-10-29T08:01:15Z
dc.date.issued2021
dc.identifier.citationHaakstad, O.H. (2021) Development of System for Deterrence of Animals using Artificial Intelligence (Master's thesis). University of Agder, Grimstad.en_US
dc.identifier.urihttps://hdl.handle.net/11250/2826439
dc.descriptionMaster's thesis in Mechatronics (MAS500)en_US
dc.description.abstractThis thesis is part of the Mechatronics masters program at the University of Agder (UiA). It describes the development of an animal deterrence system, using computer vision with embedded systems for edge computing. Household cats can run freely around in neighborhoods, but all neighbors may not appreciate it. This project seeks to develop a harmless and accurate system for keeping cats away. The solution is to use a state-of-the-art object detector to look for cats in an area. Using an embedded system to run the object detector and tracking method. Design a two-axis turret with servo motors and a camera. The object detector used for this project was YOLOv4-tiny. It was trained to detect cats, dogs, humans, and hedgehogs. The YOLOv4-tiny object detector was implemented on an NVIDIA Jetson Nano development board and ran at an average of 23 FPS. Robot Operating System (ROS) was used to run the control algorithm servo motors and the object detector. A two-axis turret, which uses two servo motors, was designed and built to make the camera track the cat. A two-axis turret, which uses two servo motors, was designed and built to make the camera track the cat. A component housing was also designed and built to have the whole system in a small enclosure.en_US
dc.language.isoengen_US
dc.publisherUniversity of Agderen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectMAS500en_US
dc.titleDevelopment of System for Deterrence of Animals using Artificial Intelligenceen_US
dc.typeMaster thesisen_US
dc.rights.holder© 2021 OLE HENRIK HAAKSTADen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Teknisk kybernetikk: 553en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429en_US
dc.source.pagenumber56en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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