Ibrahim, Abdullahi AbduTaha, Mohammed Fouad Taha2022-12-122022-12-1220222022Taha, Mohammed Fouad Taha. (2022). Design and simulation of dynamic smart parking system with image segmentation and deep learning. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.https://hdl.handle.net/20.500.12939/3097Modern electronic technologies, such as videoconferences, radio, the internet, and satellite communications, have accelerated and energized people's lives across a range of economic sectors. However, in order to keep up with this ever-increasing speed of life, visits to work, college, the bank, and the gym must begin hours in advance. Finding parking places is becoming an increasingly common challenge in addition to traffic congestion and traffic jams. The main goal of this project is to demonstrate a PIC-based automated parking system. When approaching the above-mentioned parking lot, the user may utilize this project to determine where to leave their vehicle ahead of time. The parking-lot program shows the number of occupied and unoccupied spots.eninfo:eu-repo/semantics/openAccessDeep Learning (DL)Machine Learning (ML)Convolutional Neural Network (CNN)Support Vector Machine(SVM)Smart ParkingMaster Thesis747032