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. 

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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.

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Published

30.04.2020

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