Vision-Based Automated Parking Monitoring Using Geo-Tagged UAV Images

This paper proposes an automated solution for parking monitoring using geo-tagged UAV (Unmanned Aerial Vehicle) images. The parking monitoring system utilizes a UAV to patrol the parking lot. The UAV captures video footage that contains geolocation information. Geo-tagged images are extracted from the video footage and processed using the YOLOv8 object detection algorithm to recognize occupied and vacant parking spaces. The license plates of the parked vehicles in the occupied parking space are extracted using EasyOCR and stored in a database. Each parking space is labeled with a unique ID with its date, time, geolocation data, and occupancy status to facilitate integrated digital parking solutions for both the users and parking operators.