Smart Car Parking System

Authors

  • Sumathi A Associate Professor, Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, India Author
  • Lakshmi Bhaskar Assistant Professor, Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, India Author
  • Prateeksha K Ankolekar Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, India Author
  • Shreya Shenoy Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, India Author
  • Vaishnavi Bhatt Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, India Author

DOI:

https://doi.org/10.32628/CSEIT2410410

Keywords:

Internet of Things, Radio-Frequency Identification, FASTag, Parking premises, Car Parking System

Abstract

In this fast-growing economy, the number of vehicle users is growing tremendously, wasting a significant amount of time and fuel while searching for an available parking space. This work highlights the optimum utilization of parking slots without the physical intervention of humans by making use of an IoT-integrated embedded system. This study aimed to create a mobile application for car parking that uses NodeMCU as the Microcontroller, which is further integrated with Radio-Frequency Identification (RFID) and the Internet of Things (IoT) to detect available parking slots, saving people’s time. When combined with an interactive mobile application, this technology provides an efficient solution by highlighting the availability and occupancy of parking spaces as green and red, respectively. It contributes to enhancing the quality of life of people living in congested metropolitan cities by digitizing the conventional parking system.

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References

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Published

30-08-2024

Issue

Section

Research Articles

How to Cite

[1]
Sumathi A, Lakshmi Bhaskar, Prateeksha K Ankolekar, Shreya Shenoy, and Vaishnavi Bhatt, “Smart Car Parking System”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 4, pp. 312–316, Aug. 2024, doi: 10.32628/CSEIT2410410.

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