diplomsko delo
Matej Remc (Author), Urban Burnik (Mentor)

Abstract

V diplomskem delu smo vzpostavili video nadzorni sistem, ki znotraj domačega omrežja z uporabo strojnega vida zaznava dogodke, pomembne za uporabnika, in o njih obvešča uporabnika. Pomembna lastnost sistema je, da so vsi podatki shranjeni in obdelani lokalno, s čimer se izognemo pošiljanju podatkov v oblak in s tem morebitni zlorabi podatkov. Najprej smo vzpostavili domači strežnik, ki poganja operacijski sistem Home Assistant. K temu operacijskemu sistemu smo dodali več razširitev, pri čemer je bila glavna razširitev Frigate NVR, ki skrbi za prepoznavanje dogodkov. Razširitev Frigate NVR smo konfigurirali glede na naše specifične zahteve, da smo dosegli optimalne rezultate. Z uporabo storitve Duck DNS smo omogočili dostop do našega strežnika tudi zunaj lokalnega omrežja, kar uporabniku omogoča stalni dostop do sistema. Za pošiljanje obvestil smo izbrali platformo Telegram, saj omogoča enostavno integracijo s Home Assistantom in je brezplačno dostopna. Rezultati naloge kažejo, da je mogoče z uporabo cenovno dostopnih komponent in odprtokodne programske opreme vzpostaviti zanesljiv in učinkovit sistem za video nadzor. Glavni zaključki nakazujejo, da je sistem primeren za domačo uporabo in omogoča enostavno razširitev ter prilagoditev glede na specifične potrebe uporabnika.

Keywords

video nadzor;Home Assistant;Raspberry Pi;Frigate NVR;Google Coral Edge TPU;Duck DNS;Let’s Encrypt;Telegram;univerzitetni študij;Elektrotehnika;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FE - Faculty of Electrical Engineering
Publisher: [M. Remc]
UDC: 004:621.39(043.2)(0.034.2)
COBISS: 206925315 Link will open in a new window
Views: 85
Downloads: 30
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Other data

Secondary language: English
Secondary title: Smart surveillance system
Secondary abstract: In this thesis, we established a video surveillance system that detects events important to the user within a home network using computer vision and notifies the user about them. A significant feature of the system is that all data is stored and processed locally, avoiding the need to send data to the cloud and preventing potential data misuse. First, we set up a home server running the Home Assistant operating system. To this operating system, we added several extensions, with the primary extension being Frigate NVR, which is responsible for event detection. We configured the Frigate NVR extension according to our specific requirements to achieve optimal results. Using the Duck DNS service, we enabled access to our server from outside the local network, allowing the user constant access to the system. For sending notifications, we chose the Telegram platform, as it offers easy integration with Home Assistant and is freely accessible. The results of the thesis show that it is possible to establish a reliable and efficient video surveillance system using affordable components and open-source software. The main conclusions indicate that the system is suitable for home use and allows for easy expansion and customization according to the user’s specific needs.
Secondary keywords: Video surveillance;Home Assistant;Raspberry Pi;Frigate NVR;Google Coral Edge TPU;Duck DNS;Let’s Encrypt;Telegram;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000313
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za elektrotehniko
Pages: 1 spletni vir (1 datoteka PDF (XVIII, 34 str.))
ID: 24939745