Smart Parking Space Detection Using Advanced Deep Learning Techniques

Aguswandi, Lalu Heri
Triwijoyo, Bambang Krismono
Martono, Galih Hendro

Journal Of Artificial Intelligence And Software Engineering
Vol 5, No 1 (2025): March

This study aims to develop an accurate and efficient empty parking slot detection model to assist users in finding parking spaces. The developed model utilizes YOLOv11 as a pretrained model and demonstrates excellent performance with a precision of 99%, recall of 99%, and a Mean Average Precision (mAP) of 99%. These results validate the model's ability to accurately detect empty parking slots with 100 training epochs. Additionally, the model operates in real-time with a frame rate of 25 frames per second (FPS)