Automatizirani sustav za hranjenje kućnih ljubimaca

master's thesis

• Title (english): Automated feeding system for pets
• Author: Klara Banić
• Mentor: Daniel Hofman (mentor)
• Committee member: Daniel Hofman (član povjerenstva)
• Committee member: Josip Knezović (član povjerenstva)
• Committee member: Ivana Bosnić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-02-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U okviru ovog rada osmišljen je i implementiran sustav za automatsko hranjenje kućnih ljubimaca kako bi se olakšao i unaprijedio način prehrane. Implementacija sustava je bazirana na Raspberry Pi uređaju. Sustav koristi ulazne jedinice poput senzora pokreta, težine, zvuka, temperature i vlage te kameru koje korisniku pružaju dodatne korisne informacije. Veliku komponentu sustava čini fizička konstrukcija hranilice kojom je moguće upravljati putem motora i releja koji su spojeni na Raspberry Pi. Web aplikacija implementirana u Flask radnom okviru omogućuje korisniku interakciju sa sustavom poput aktivacije hranjenja ili pregleda povijesnih podataka. Za pohranu podataka korištena je SQLite baza podataka.

Abstract (english)

The aim of this master thesis was to design and implement an automated feeding system for pets in order to facilitate and improve the way of feeding them. The system implementation is based on the Raspberry Pi device. The system uses input units such as motion, weight, sound, temperature and humidity sensors, as well as a camera, that provide the user with additional useful information. A large component of the system is the physical construction of the feeder, which can be controlled via motor and relay connected to the Raspberry Pi. A web application implemented in the Flask framework allows the user to interact with the system, such as activating a feed or viewing historical data. SQLite database was used for data storage.

• Keywords: automatizirani sustav; Raspberry Pi; senzori; Flask; SQLite
• Keywords (english): automated system; Raspberry Pi; sensors; Flask; SQLite
• Language: croatian
• URN:NBN: urn:nbn:hr:168:348335
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-07-13 09:54:11