IoT-Based Smart Car Parking Agent Using Raspberry Pi

The Internet of Things (IoT) innovation is crucial in the interconnection and automation of many physical devices, automobiles, home machines, and other objects. Software, various sensors, and actuators help these objects associate and handle information (Ramaswamy in IoT smart parking system for reducing green house gas emission. IEEE, pp. 1-6, 2016 [1]; Mainetti et al. in Integration of RFID and WSN technologies in a smart parking system. IEEE, pp. 104-110, 2014 [2]; Sari et al. in IOP Conf Ser Mater Sci Eng 190, 2017; Mahendra et al. in IOT based sensor enabled smart car parking for advanced driver assistance system. IEEE, pp. 2188-2193, 2017 [3]). The automation of devices, which is a future requirement, raises the level of living for humans. A smart automobile parking system that enables a motorist to find a parking space and a free slot in that parking space inside of a city is one example of a need that was discussed in the research. The paper suggests an intuitive parking system for vehicles that makes use of Raspberry Pi and many more hardwares (Mainetti et al. in Integration of RFID and WSN technologies in a smart parking system. IEEE, pp. 104-110, 2014 [2]). The goal of this study is to cut down on the time wasted looking for parking. Finding a spot to park the car is becoming more and more difficult as problems such as car overloads and the exponential growth in the number of cars and people become more and more prevalent. Other issues include vehicle accessibility, use, and beginning late. In the research is concerned with developing a reliable system that accepts responsibility for the task of identifying open spaces in a parking lot and maintaining a meticulous record of the vehicles that have been abandoned. The anticipated system reduces human effort at the parking area generally, for instance, in cases when the driver is seeking for open slots and figuring out how much space each car will need. Our system is composed of an embedded "Raspberry Pi 4 B+ (RPi) computer", a "Pi camera module", and "ultrasonic sensors". To gather and process the data input from the sensors and camera, the RPi 4 B+ is used in the IoT-PiPMS. The data is subsequently uploaded via "Wi-Fi" to the Flask IoT server. When parking spaces are occupied, the Pi camera may be used to detect their occupancy and verify the accuracy of the data using ultrasonic sensors. The outcomes show that these initiatives are successful at monitoring residents in a smart campus environment and at instantly updating the data on the IoT server and outside parking spaces.