Campus Parking System Using YOLOv5 Object Detection Method

Currently, there is an increase in the number of vehicles used in office environments, hotels, and educational institutions, including on the Universitas Klabat campus. However, the lack of an adequate system for managing parking indicates the need for the development of a better and more efficient parking infrastructure to address this problem. Campus Parking System Using YOLOv5 Object Detection Method implemented with Number Plate Recognition is one solution that can be applied in campus environments, offices, hotels, and other commercial areas. This system works by identifying vehicles that have a parking permit at a specific location. Researchers utilize YOLOv5 for Object Detection and Tesseract for Optical Character Recognition. This research uses the Prototype method to test the functionality of the system. The License Plate Recognition System detects and automatically reads vehicle license plates from digital images, converts pixel data into ASCII text, which is then processed in the database. In addition, the system also helps distinguish between vehicles that are allowed to park and those that are not. By implementing this technology, parking management in various environments can become more efficient and structured.