TY - GEN
T1 - Enhancing Urban Mobility with IoT
T2 - 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2024
AU - Alkaabi, Sumaya
AU - Alnuaimi, Latifa
AU - Almansoori, Aziza
AU - Alyammahi, Ruqayyah
AU - Mahmoud, Sara
AU - Ignatious, Henry Alexander
AU - El-Sayed, Hesham
N1 - Publisher Copyright:
©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper proposes and implements a versatile IoTenabled parking solution that provides real-time statistics on available parking spaces and includes a surveillance system to detect unusual vehicle behavior using a license plate recognition solution. Efficient algorithms are introduced to develop a parking perception system, utilizing advanced machine learning models such as YOLO-v5 and Convolutional Neural Networks (CNNs) for object detection and classification, providing precise parking lot statistics. Furthermore, the study presents an innovative approach to accurately identify vehicle number plates to monitor unusual behavior. A custom dataset was developed, and the proposed solutions were evaluated using various metrics.
AB - This paper proposes and implements a versatile IoTenabled parking solution that provides real-time statistics on available parking spaces and includes a surveillance system to detect unusual vehicle behavior using a license plate recognition solution. Efficient algorithms are introduced to develop a parking perception system, utilizing advanced machine learning models such as YOLO-v5 and Convolutional Neural Networks (CNNs) for object detection and classification, providing precise parking lot statistics. Furthermore, the study presents an innovative approach to accurately identify vehicle number plates to monitor unusual behavior. A custom dataset was developed, and the proposed solutions were evaluated using various metrics.
KW - AI-powered surveillance
KW - IoT (Internet of Things)
KW - License Plate Recognition (LPR)
KW - Parking Lot Analytics
KW - Parking Space Occupancy
UR - http://www.scopus.com/inward/record.url?scp=85217277826&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85217277826&partnerID=8YFLogxK
U2 - 10.1109/GCAIOT63427.2024.10833578
DO - 10.1109/GCAIOT63427.2024.10833578
M3 - Conference contribution
AN - SCOPUS:85217277826
T3 - 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2024
BT - 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 November 2024 through 21 November 2024
ER -