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IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement

Authors :
Shankar S. Siva
Srinivas S.
Kodati Sarangam
punati Kondalarao
Purushotham P.
Gurnadha Gupta Koppuravuri
Manikandan G.
Nagendra Kumar Y.J.
Dutt Amit
Source :
MATEC Web of Conferences, Vol 392, p 01105 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

Parking spots have become a prevalent concern in urban growth. The number of automobiles is increasing faster than accessible parking spaces. This problem is addressed by implementing an Internet of Things (IoT)-based Parking Surveillance Scheme (IoT-PSS) for the smart campus. The system aims to efficiently match vehicles with available parking spaces, resulting in time savings, improved parking space usage, reduced management expenses, and decreased traffic congestion. Edge computing provides a new answer to data processing in monitoring systems by using advancements in IoT, artificial intelligence, and transmission technologies to analyze data regionally at the edge. This research explores the viability of using edge computing for smart parking monitoring, focusing on detecting parking occupancy via a real-time video stream. The structure operating pipeline to prioritize adaptability, online surveillance, data transfer, detection precision, and system dependability. The experimental findings show that the final detection approach achieves more than 95% accuracy in real-world situations with outstanding effectiveness and reliability. The IoT-PSS system is essential for smart cities and is a strong basis for future use in smart transportation networks.

Details

Language :
English, French
ISSN :
2261236X
Volume :
392
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.f38127eaf0f4d8dadd261f9da6f4495
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/202439201105