Open Access

ARTICLE

An Intelligent IoT-Enabled Real-Time Space Monitoring System for Urban Parking and Smart Manufacturing Logistics

Isam Bahaa Aldallal¹, Saadaldeen Rashid Ahmed^2,3, Abdullahi Abdu Ibrahim¹, Oguz Bayat⁴, Abu Saleh Musa Miah⁵, Fahmid Al Farid^6,7,*, Md. Hezerul Abdul Karim^6,*

1 Department of Electrical and Computer Engineering, Altinbas University, Istanbul, Türkiye
2 Artificial Intelligence Engineering Department, College of Engineering, Al-Ayen University, Nasiriyah, Thi-Qar, Iraq
3 Computer Science, Bayan University, Erbil, Kurdistan, Iraq
4 Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul, Türkiye
5 Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh
6 Faculty of Computer Science and Informatics, Berlin School of Business and Innovation, Karl-Marx-Straße 97–99, Berlin, Germany
7 Centre for Image and Vision Computing (CIVC), COE for Artificial Intelligence, Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University, Cyberjaya, Selangor, Malaysia

* Corresponding Authors: Fahmid Al Farid. Email: ; Md. Hezerul Abdul Karim. Email:

(This article belongs to the Special Issue: Intelligent IoT for Smart Cities and Sustainable Energy Systems)

Computers, Materials & Continua 2026, 88(2), 76 https://doi.org/10.32604/cmc.2026.078742

Received 07 January 2026; Accepted 09 April 2026; Issue published 15 June 2026

Abstract

Urban parking problems worsen traffic jams, gas use, and pollution. Old parking systems often lack up-to-date space information, which annoys drivers and wastes their time. This research presents a smart IoT-enabled real-time space monitoring and booking system applicable to both urban parking management and Smart Manufacturing logistics environments, including loading bay coordination and Automated Guided Vehicle (AGV) docking station management. The system employs ultrasonic and IR sensors, managed by an Arduino UNO, to identify vehicles and track space availability. A servo-motor regulates entry. Slot data is presented on a Liquid Crystal Display screen and accessible through a mobile app. The tests suggest that the system is accurate (98.67%) and reduces entry and exit times to 1–2 s for gate actuation, and it can handle increased demand well. Proteus simulations support the system’s reliability. Real-time updates to slot availability improve the user experience and overall system efficiency in both urban and industrial deployment scenarios.

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Keywords

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