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master's thesis
Sustav za praćenje letećih objekata
2021. urn:nbn:hr:179:244884
Mikulić, Stjepan
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Mikulić, S. (2021). Sustav za praćenje letećih objekata (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:244884

Mikulić, Stjepan. "Sustav za praćenje letećih objekata." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:244884

Mikulić, Stjepan. "Sustav za praćenje letećih objekata." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:244884

Mikulić, S. (2021). 'Sustav za praćenje letećih objekata', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:244884

Mikulić S. Sustav za praćenje letećih objekata [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:179:244884

S. Mikulić, "Sustav za praćenje letećih objekata", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:244884

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Metadata
TitleSustav za praćenje letećih objekata
Title (english)System for tracking of flying objects
AuthorStjepan Mikulić
MentorIvo Stančić (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-07-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Automatics
Abstract
Cilj ovog diplomskog rada bio je napraviti sustav za praćenje letećih objekata. Kako bi se realizirao cijeli projekt prvo je bilo potrebno realizirati hardverski dio. Za izradu hardvera odabrale su se najoptimalnije komponente za realizaciju. Nakon projektiranja, sustav je hardverski realiziran. Izrađen je sustav za pozicioniranje kamere koji ima dvije osi slobode gibanja koji rotira kameru u smjeru (gore/dolje, lijevo/desno) i tako omogućava praćenje. Za kontrolu rotacije sustava izrađena je tiskana pločica koja na sebi ima: 3 drivera za kontroliranje motora, Arduino i regulator struje. Nakon hardverske realizacije bilo je potrebno isprogramirati kod za Arduino koji regulira brzinu rotacije motora. Kako bi se pratila pozicija drona, napravljen je algoritam za praćenje objekata napisan u Python jeziku korištenjem OpenCV biblioteke. Program za praćenje objekata izvršava se na Raspberry Pi-u. Cijeli sustav radi na način da Raspberry Pi prati lokaciju objekta na snimci kamere te šalje podatke lokacije Arduinu. Arduino ima u sebi isprogramiran regulator koji upravlja radom motora koji zakreću sustav gdje se u konačnici kamera usmjerava prema objektu.
Abstract (english)
This thesis aimed to create a system for tracking flying objects. To realize the whole project, it was first necessary to realize the hardware part. The most optimal components for realization were selected for hardware development. After designing, the system was hardware realized. A camera positioning system has been developed that has 2 axes of freedom of movement that rotates the camera in the direction (up / down, left / right) and thus allows tracking. To control the rotation of the system, a printed circuit board was made, which has: 3 drivers for controlling the motor, Arduino, and current regulator. After the hardware implementation, it was necessary to program a code for the Arduino that regulates the engine rotation speed. To track the position of the drone, an algorithm for tracking objects written in the Python language using the OpenCV library was created. The object tracking program runs on the Raspberry Pi. The entire system works in such a way that the Raspberry Pi monitors the location of the object on the camera image and sends the location data to the Arduino. The Arduino has a programmed controller that controls the operation of the motors that rotate the system where the camera is ultimately directed towards the object.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:244884
Study programmeTitle: Systems and Control
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka automatike i sustava (magistar/magistra inženjer/inženjerka automatike i sustava)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2021-11-23 10:43:40