Citation :

Sunil Jakhar, Lokesh Chouhan, Madhuri Kanojiya, Vipin Tiwari, Mayank Namdev, "Smart Parking System using IOT and Image Processing," International Journal of Engineering Trends and Technology (IJETT), vol. 73, no. 12, pp. 34-51, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I12P104

Abstract

Considering the continuously increasing urban population and private vehicle ownership, a smart parking framework has become a fundamental necessity of the present times. According to various studies, nearly 30% of the urban traffic congestion occurs due to drivers searching for nearby parking spaces. To reduce traffic congestion and avoid the wastage of time and fuel, this research work offers an android-based smart parking system integrating IoT and image-processing technologies. The smart parking system proposed in this paper helps reduce the time and fuel consumption involved in searching for a nearby parking area, and also allows users to pre-book a parking slot in real-time. In addition, the app will also help the user to get to the parking area via the shortest route, for which the Google Maps API is used. Furthermore, the parking entrance will be fully automated, and charges will also be dynamic (time-based). A user may pay offline or online using a digital wallet or any payment gateway, resulting in the faster exit of vehicles. This approach helps to make the parking experience faster and smoother, and also reduces traffic inside the parking area. The suggested Smart parking system thus contributes to improving the operational efficiency of the parking operations, optimizing the utilization of parking space, and enhancing the overall user experience by providing a simple, automated, and congestion-free parking solution, which helps smooth traffic flow.

Keywords

Image Processing, Internet of Things, Smart parking system, Smart city, Number Plate detection.

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