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Title	Parkmate: An Image Processing Based Automated Car Parking System
ID_Doc	41325
Authors	Wickramanayake W.T.S.; Kumararathhe P.K.T.V.; Jayashan U.G.B.A.; Maduranga M.W.P.
Year	2022
Published	2022 International Conference on Communication, Computing and Internet of Things, IC3IoT 2022 - Proceedings
DOI	http://dx.doi.org/10.1109/IC3IOT53935.2022.9767991
Abstract	In this work, posit an Internet - of - things intelligent parking mechanism that can provide park and ride allotment guidance to clients as well as monitor and book the vehicle's parking spot. We used a deep learning algorithm technique to identify the registration plate accessing the parking space entrance using a PI camera. In this system, the output of the IP camera will be processed using image processing techniques. The system will automatically register the vehicle using a number plate value and stores data with the server. Then the system can monitor each parking slot's status by installing an IR sensor on the slot. Accordingly, sensors detect parking slot availability and send status to ESP32. It gathers data among all sensing devices and transmits it to the cloud service. This allows users to check the parking availability from anywhere using the internet and any browser. The mobile application users can find and book a parking slot in advance. © 2022 IEEE.
Author Keywords	ESP32; Internet of Things; Optical Character Recognition; Smart Car Parking; Smart Cities

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