Parking management system using image procesing techniques

bachelor’s thesis

Amar Pašagić (Author), Vito Logar (Mentor)

Abstract

Diplomsko delo predstavlja zasnovo in izgradnjo pametnega sistema za upravljanje parkirišč, ki je namenjen izboljšanju izkoriščenosti parkirnih prostorov in je bil izdelan za zasebno podjetje za upravljanje parkirišč v Bosni in Hercegovini. Sistem izkorišča obdelavo slik, pridobljenimi s CCTV kamerami, s čimer zaznava in spremlja razpoložljivost parkirnih mest v realnem času. Glavni cilj sistema vključuje natančno zaznavanje prostih parkirnih mest. Z uporabo algoritmov obdelave slik, sistem analizira posnetke kamer, s čimer identificira ne-ničelne točke na sliki, ki kažejo na prisotnost vozil na parkirnih mestih. Sistem omogoča prikaz parkirišča iz ptičje perspektive in prek edinstvenih identifikatorjev prikaže ikone avtomobilov na zasedenih parkirnih mestih. Omenjeni prikaz je na voljo na vhodnem terminalu parkirišča, kar voznikom omogoča boljši pregled nad parkiriščem, saj s tem pridobijo informacijo o skupni zasedenosti parkirišča ter informacijo o lokaciji prostih parkirnih mest. V nalogi so najprej pojasnjeni teoretični deli, ki so potrebni za razumevanje vsebine diplomskega dela. Nadalje so predstavljene in primerjane nekatere tehnike segmentacije slik, ki so uporabljene za zaznavanje prisotnosti avtomobilov. V zadnjem delu je predstavljen celoten projekt, vključno s prikazom njegovega delovanja. Predstavljeni projekt je bil zasnovan za zaznavanje prostih parkirnih mest, vendar ga je mogoče še nadgraditi, kar je pojasnjeno na koncu te disertacije. Celoten projekt je bil izdelan s kombinacijo programskega jezika Python in knjižnice OpenCV ter tehnikami obdelave slik, kar je omogočilo preprosto a učinkovito rešitev problema.

Keywords

CCTV kamere;Python;OpenCV;tehnike obdelave slik;sistem upravljanja parkirišča;

Data

Language:	English
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FE - Faculty of Electrical Engineering
Publisher:	[A. Pašagić]
UDC:	681.5:625.712.63:004.9(043.2)(0.034.2)
COBISS:	197437187
Views:	114
Downloads:	37
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary title:	Sistem za upravljanje parkirišča z uporabo metod obdelave slik
Secondary abstract:	This thesis represents a smart parking management system designed to enhance parking space utilization, which was designed for a private parking lot company in Bosnia and Herzegovina. The system leverages image processing integrated with CCTV cameras to detect and monitor parking space availability in real time. The primary objective of the system includes accurately detecting free parking spots. Through image processing algorithms, the system analyzes CCTV footage to identify non-zero pixels, indicating the presence of vehicles in parking spaces. Later, the system displays bird eye view of parking spaces and through unique identifiers displays car icons on taken parking spots, which is displayed at the entry terminal of the parking lot. In this manner, the drivers get the information whether there is a free parking spot in the parking lot or not and its location. In the first part of the thesis, we explain theoretical parts, which are needed to understand the performed project described. Afterwards some of the image segmentation techniques are explained and compared, which are used to detect parked vehicles. Finally, a complete project is presented, including a demonstration of its performance. Initially, the project’s goal was to detect the availability of parking spaces but can easily be upgraded, which is explained at the very end of this thesis. This project was made through a combination of Python and OpenCV library and image processing techniques, which enabled us to make a simple yet effective solution to this problem.
Secondary keywords:	CCTV kamere;Python;OpenCV;tehnike obdelave slik;sistemi upravljanja parkirišč;visokošolski strokovni študij;Aplikativna elektrotehnika;diplomske naloge;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000315
Thesis comment:	Univ. v Ljubljani, Fak. za elektrotehniko
Pages:	1 spletni vir (1 datoteka PDF (50 str.))
ID:	24230271