Sistema de gestión inteligente del parqueadero del edificio de Bienestar Estudiantil en la Universidad Técnica de Ambato mediante visión artificial

Abstract

This thesis project presents a smart management system for the parking lot of the student welfare building at the Universidad Técnica de Ambato using computer vision. To capture real-time images of the parking lot, two IP cameras are installed at the entrance and exit, with processing performed on the NVIDIA Jetson Nano development platform. The system employs the YOLOv8 computer vision algorithm for vehicle detection and counting. It monitors vehicle flow by recording entries and exits to maintain an updated count of the total occupancy of the parking lot, which has 166 spaces. The analysis results are displayed through a graphical interface developed in Python using Tkinter, running on an Ubuntu environment. This interface allows staff to monitor the number of vehicles in the parking lot and the remaining availability in real time.Finally, the collected data is stored in a local database, enabling historical tracking of vehicle flow and facilitating analysis for optimizing parking lot management.