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In present years, the Internet of Things (IoT) has been one of the most sought research areas and has been an integral part of everyday life. Every household or society is nowadays dependent on some kind of smart things like smart TV, smart refrigerators, smart lighting, smart security systems, etc. Smart parking is one of the important areas for research and development in this field. In this paper, we have tried to propose a method that will be simple and efficient for the user. The objective is to study the available smart parking system, propose a complete smart parking system, implement the propose system, and analyze and compare the results with another smart parking systems. Our proposed system helps to manage the indoor parking system automatically starting from detection of vehicle, vehicle license plate detection, and recognition using Convolutional Neural Network (CNN), and then, license plate is matched with the registered license plate which is saved in a parking database while doing registration to park the vehicle for allocating automatic parking slot. The slot allocation process is scheduled through the FCFS algorithm, slot verification of individual parking users is done by license plate matching while parking the vehicle at slot, multilevel parking is designed for parking any type of vehicle, and e-ticket email has been sent using SMTP protocol. All parking statuses are being monitored in real time at the cloud server using ThinkSpeak. Finally, elapsed time result and analysis for complete parking has been measured and compared with another similar parking system. KeywordsInternet of Things • Smart indoor parking • ThinkSpeak • Slot number allocation • Vehicle license plate This article is part of the topical collection "Next-Generation Digital Transformation through Intelligent Computing" guest edited by

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