Intelligent Face Recognition Based Multi-Location Linked IoT Based Car Parking System

Abstract

The integration of Industrial Internet of Things (IoT) and Artificial Intelligence (AI) hasrevolutionized various industries, particularly in applications like smart traffic management and intelligent parking systems. This paper explores the intersection of IoT technology and AI advancements in addressing urban mobility challenges. Specifically, it focuses on IoTenabled smart parking systems, which offer users features such as locating vacant parkingspots, recommending optimal routes, and providing real-time predictions on parkingavailability while ensuring compliance with privacy regulations. Additionally, the paper discusses the role of the Internet of Vehicles (IoV) in facilitating communication betweenvehicles and infrastructure, along with the use of deep learning models for analyzing big datain industrial IoT settings. Challenges related to privacy concerns and computational demandsare addressed, and solutions such as convolutional neural networks (CNNs) 3 and deep metric learning are proposed. The paper underscores the significance of smart parking solutions in reducing traffic congestion and pollution in metropolitan areas and proposes an intelligent central car parking system integrated into a smart city IoT architecture. Managed by an IoT management centre, the system aims to optimize parking allocation and enhance urban mobility within the smart city framework.