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undergraduate thesis
Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda
2022. urn:nbn:hr:212:847486
Starčević, Matija
Istrian University of applied sciences

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Starčević, M. (2022). Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda (Undergraduate thesis). Pula: Istrian University of applied sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:212:847486

Starčević, Matija. "Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda." Undergraduate thesis, Istrian University of applied sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:212:847486

Starčević, Matija. "Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda." Undergraduate thesis, Istrian University of applied sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:212:847486

Starčević, M. (2022). 'Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda', Undergraduate thesis, Istrian University of applied sciences, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:212:847486

Starčević M. Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda [Undergraduate thesis]. Pula: Istrian University of applied sciences; 2022 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:212:847486

M. Starčević, "Ugrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda", Undergraduate thesis, Istrian University of applied sciences, Pula, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:212:847486

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Metadata
TitleUgrađeni sustav za praćenje prometa i kontrolu prometnih nezgoda
Title (english)Embedded System for Traffic Monitoring and Accident Management
AuthorMatija Starčević
MentorMarko Turk (mentor)
Committee memberSanja Grbac Babić (predsjednik povjerenstva)
Committee memberMarko Turk (član povjerenstva)
Committee memberMatej Kolarik (član povjerenstva)
GranterIstrian University of applied sciences
Pula
Defense date and country2022-04-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je pokazati na jednostavan način detekciju i praćenje prometa uz pomoć Python programskog jezika i njegovih biblioteka te OpenCV biblioteke. U radu imamo dvije podjele, teorijski dio i praktični dio. U teorijskom dijelu rada opisano je trenutno stanje inteligentnih transportnih sustava te njihova primjena, uređaji, algoritmi i metode koji se koriste u detekciji i praćenju programa. U praktičnom dijelu rada odrađeno je rješavanje problema detekcije i praćenja. Detaljno je objašnjen kod te logika iza njega. Detekciju smo uspostavili sa bibliotekom OpenCV Python programskog jezika, a praćenje se odradilo sa klasifikacijom vozila i logikom koja je povezala sve u jednu cjelinu.
Abstract (english)
The aim of this paper is to easily detect and monitor traffic through Python programing language and its libraries and OpenCV Library. In this paper we have two divisions, a theoretical part and a practical part. The theoretical part of the paper describes the current state of intelligent transport systems and their applications, systems, algorithms and methods used in programming detection and monitoring of traffic. The practical part of the paper deals with the problem of detection and monitoring and is explained in detail with the logic behind it. The detection was established with the OpenCV library and Python programming language, and the monitoring was done with vehicle classification and logic that connected everything together.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:212:847486
Study programmeTitle: Undergraduate professional study program in Mechatronics.
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka mehatronike (stručni prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka mehatronike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-03-20 11:12:48