Automatic Smart Parking System using Internet of Things

Authors

  • Dr.J. Mohana Associate Professor, Department of ECE, Saveetha school of engineering, Chennai, TN, India Author
  • Gayathri Lakshmi M. Associate Professor, Department of ECE, Saveetha school of engineering, Chennai, TN, India Author
  • Mr.S. Vineeth Associate Professor, Department of ECE, Saveetha school of engineering, Chennai, TN, India Author

DOI:

https://doi.org/10.61841/3qvvg197

Keywords:

Raspbian OS, Smart Parking System (SPS), Raspberry pi, web camera, Internet of Things (IOT)

Abstract

Web of Things (IOT) assumes an imperative job in associating the encompassing ecological things to the framework and making it easy to reach un-web things from a certain faraway land. It was unlikely for the individuals to relieve the innovation development. What's more, lots of folks experience obstacles on leaving cars and trucks in the city. In this assessment, we structure a parking management system that will allow the customer to locate the closest area & provide final rooms in the stop area.What's more, it basically centers on reducing the time to find the space garages, and furthermore, it evades the superfluous going through Laden car parks in the stopground. Along these lines, this restricts the use of gasoline and also limits carbon impressions in an environment. 

Downloads

Download data is not yet available.

References

1. L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A Survey,” Computer Networks, (2010) vol. 54, no. 15, pp. 2787-2805.

2. KaivanKarimi and Gary Atkinson, What the Internet of Things (IoT) Needs to Become a Reality, White Paper, FreeScale, and ARM, 2013.

3. M. Albano, A. Brogi, R. Popescu, M. Diaz, and J. A. Dianes, “Towards secure middleware for embedded peer-to-peer systems:” Objectives and requirements,” in RSPSI ’07: Workshop on Requirements and Solutions for

4. http://www.mdpi.com/journal/sensorsSensors 2014, 14, 22372-22393; doi:10.3390/s141222372

5. Bilodeau, V.P., "Intelligent Parking Technology Adoption." Ph.D. Thesis, University of Southern Queensland: Queensland, Australia, 2010.

6. Li, T.S.; Ying-Chieh, Y.; Jyun-Da, W.; Ming-Ying, H.; Chih-Yang, C. “Multifunctional intelligent autonomous parking controllers for carlike mobile robots.” IEEE Trans. Ind. Electron. 2010, 57, 1687–1700.

7. Faheem1, S.A. Mahmud, G.M. Khan, M. Rahman and H. Zafar, “A Survey of Intelligent Car Parking System”, October 2013

8. S. Alam, M. M. R. Chowdhury, and J. Noll, “Senaas: An event-driven sensor virtualization approach for internet of things cloud,” IEEE International Conference on, (2010), pp. 1–6.

9. http://ijarcet.org/wp-content/uploads/IJ

10. Choeychuen, K. “Automatic parking lot mapping for available parking space detection.” In Proceedings of the 5th International Conference on Knowledge and Smart Technology (KST), Chonburi, Thailand, 31 January–1 February 2013; pp. 117–121.

11. Shelby, Zach, S. Krco, and C. Bormann. "CoRE Resource Directory; draft-ietf-core-resource-directory-02." (2014).

12. Keat, Christopher TayMeng, CédricPradalier, and Christian Laugier. "Vehicle detection and car park mapping using laser scanner." IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2005.

13. Maharaja, D., & Shaby, M. (2017). “Empirical Wavelet Transform and GLCM Features Based Glaucoma Classification from Fundus Image.” International Journal of MC Square Scientific Research, 9(1), 78-85.

14. Saravanan, N. (2013). “Hand Geometry Recognition based on Optimized K-means Clustering and Segmentation Algorithm.” International Journal of MC Square Scientific Research, 5(1), 11-14.

Downloads

Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

J. , M., M. , G. L., & S. , V. (2020). Automatic Smart Parking System using Internet of Things. International Journal of Psychosocial Rehabilitation, 24(2), 5648-5654. https://doi.org/10.61841/3qvvg197