IoT and Cloud Based Smart Parking and Automation Billing

Authors

  • Kandimalla Mallikarjuna Rao Assistant Professor, Department of Electronics & Communication Engineering, KKR & KSR Institute of Technology and Sciences, Guntur, India
  • Kothari Naresh Student, Department of Electronics & Communication Engineering, KKR & KSR Institute of Technology and Sciences, Guntur, India
  • Kolla Hari Prasad Student, Department of Electronics & Communication Engineering, KKR & KSR Institute of Technology and Sciences, Guntur, India
  • Jorige Venu Student, Department of Electronics & Communication Engineering, KKR & KSR Institute of Technology and Sciences, Guntur, India
  • Konduru Suresh Student, Department of Electronics & Communication Engineering, KKR & KSR Institute of Technology and Sciences, Guntur, India

Keywords:

Push button, Blynk app, Mobile phone, ESP32, IR sensor, Servo motor

Abstract

The smart car parking project aims at providing confusion-free and easy and safe parking. This project helps the drivers of vehicles to park their vehicles without wastage of time & with accurate information on the availability of the space to park over. This can collect parking charges efficiently. It includes an ESP32 as the microcontroller unit to update the information regarding the parking slots, and IR sensors are interfaced. The android app keeps the check on the number of cars entering and exiting the parking space, and the servo motor is used as a gate, for the entry and exit of the cars. The IR sensors detect the availability of the parking space and update the information to Arduino and Blynk software is used for cloud services. The aim of this project is to provide a simple automatic car parking allocation system with basic components like a microcontroller that provides solutions to the problems in car parking allocation. Parking allocations in shopping malls and movie theatres are very complex there must be a person to check space availability and keep vehicles safe. This project simplifies the parking allocation problem.

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Published

17-04-2023

Issue

Section

Articles

How to Cite

[1]
K. M. Rao, K. Naresh, K. H. Prasad, J. Venu, and K. Suresh, “IoT and Cloud Based Smart Parking and Automation Billing”, IJRESM, vol. 6, no. 4, pp. 31–33, Apr. 2023, Accessed: Apr. 26, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/2658