Cloud-based Smart Parking System using Internet of Things.

This research aims to design a smart parking system using cloud and Internet of Things (IoT) technologies to improve the process of finding parking spaces in urban areas. The proposed system utilizes sensors and microcontrollers in each parking space to provide real-time data to users through a mobile application. The primary objective of our research is to address issues, such as time-consuming manual searches for parking spaces and reduce traffic congestion. This research suggests a system of reliable smart ultra-sonic sensors connected to a microcontroller for easy and remote parking automation. Users can select a parking space by clicking on the available slot in the mobile application. Additionally, the mobile application informs users about empty spots. This smart parking system can be implemented on both small and large-scale models, and the results suggest that it effectively replicates traditional automobile parking, with the added convenience of a mobile application, in urban areas.