Abstract
In this fast-developing world, the increase in the number of vehicles demands a smart parking system in smart cities. The issue of spending a lot of time finding parking slots needs to be addressed. The increase of smartphones provides the space to develop smart applications enabled with AI and deep learning. This paper proposes an AI-based smart parking management system and a business model to provide a solution for both user and the owner of the parking space. Owners of the parking slots can opt for fixed or variable timeslots to make use of their parking spaces. Registered users can check the availability of the parking spaces at the destination in real-time and details of the users such as the time and vehicle details can be detected and updated automatically. Billing for the parking space usage will also be done automatically as per the regulated guidelines. Raspberry Pi and deep learning tools are used for the implementation. The proposed system is cost-effective and reduces time and energy.
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Kher, Y., Saxena, A., Tamizharasan, P.S., Joshi, A.D. (2021). Deep Learning-Based Smart Parking Management System and Business Model. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1378. Springer, Singapore. https://doi.org/10.1007/978-981-16-1103-2_11
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DOI: https://doi.org/10.1007/978-981-16-1103-2_11
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