Video nadzor vhoda v čebelji panj

MENCIGAR, ŽAN (author), Žabkar, Jure (mentor)

Vedno bolj se zavedamo pomembnosti čebel v naravi, zato se toliko bolj trudimo za njihovo zdravje. V okviru diplomskega dela bomo razvili sistem, s katerim čebelarju omogočimo pregled nad lastnimi čebelami. Čebele bo lahko opazoval v živo, ne da bi bil na enaki lokaciji kot panj. S pomočjo sistema bo imel pregled nad prihodom in odhodom čebel in nad tem, koliko od njih je prineslo cvetni prah. S temi informacijami bo dobil boljši pregled nad stanjem čebelje družine in nad tem, kako se je to skozi čas spreminjalo. Sistem smo razvili s pomočjo algoritma za zaznavanje objektov YOLOv5.

• Language: Slovenian
• Keywords: čebela, video nadzor, YOLOv5
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2023
• PID: 20.500.12556/RUL-144450
• COBISS.SI-ID: 142921475
• Publication date in RUL: 22.02.2023

MENCIGAR, ŽAN, 2023, Video nadzor vhoda v čebelji panj [online]. Bachelor’s thesis. [Accessed 19 May 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=144450

Secondary language

• Language: English
• Title: Video surveillance of the beehive entrance

Abstract

We are increasingly aware of the importance of bees in nature, which is why we work so hard for their health. As part of the thesis, we will develop a system that allows beekeepers to inspect their own bees. He will be able to observe the bees live without having to be in the same location as the hive. With the help of the system, he will have an overview of the arrival and departure of bees and how many of them have brought pollen. With this information, he will get a better overview of the state of the bee colony and how it has changed over time. We developed the system using the YOLOv5 object detection algorithm.

• Keywords: bee, video surveillance, YOLOv5