The aim of the diploma project is to develop a smart parking system based on automatic number plate recognition (ANPR) technology.
The diploma project developed a smart parking system that uses automatic number plate recognition to optimize the parking process and enhance its efficiency. The developed system allows for the automation of entry and exit processes in parking areas, reducing the time spent searching for an available spot and decreasing traffic congestion on city streets.
The diploma project includes an analysis of modern methods and means for implementing smart parking, including the use of ultrasonic, infrared, and magnetic sensors, as well as LoRaWAN wireless data transmission technology. The overall structural diagram of the system, the algorithm block diagram, and the functional diagram of the system were developed.
The final section is dedicated to describing the process of training the ANPR model based on the YOLOv8 architecture and integrating Optical Character Recognition (OCR) technology for recognizing license plate characters. System testing and performance analysis were conducted.
Research advisor: I. Hryshanova
