IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 7 - Issue 4, April 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Crowd Estimation Using Embedded Technology

[Full Text]

 

AUTHOR(S)

Ujjwal Singh

 

KEYWORDS

embedded system, population density, public trains, LED display, Arduino, IOT, real time analysis, velostat

 

ABSTRACT

In this article we propose an Arduino based population density monitoring system designed to efficiently monitor the population density in a particular area. The proposed system uses Arduino microcontroller to estimate the population density. This system uses pressure sensitive objects to efficiently predict the density, the prototype also uses display LEDs to indicate the density and help to evenly distribute the population.

 

REFERENCES

[1] W. Yue, S. Changhong, Z. Xianghong, and Y. Wei, "Design of new intelligent street light control system," in Proc. IEEE International Conference on Control Automation, 2010, pp. 1423–1427.

[2] C. Ozcelebi, and J. Lukkien, "Exploring user-centered intelligent road lighting design: a road map and future research directions," IEEE Trans. Consum. Electron, vol. 57, pp. 788-793, May 2011.

[3] C. Chun, C. Hung, L. Kun, C. Kuan, and Y. Chun, "A digitally wireless dimmable lighting system for two-area fluorescent lamps," in Proc. IEEE Region 10 Conference, 2010, pp. 2173-2178.

[4] L. Chushan, W. Jiande, and H. Xiangning, "Realization of a general LED lighting system based on a novel Power Line Communication technology," in Proc. IEEE Applied Power Electronics Conference and Exposition, 2010, pp. 2300-2304.

[5] P. Elejoste et al., "An Easy to Deploy Street Light Control System Based on Wireless Communication and LED Technology," Sensors (Basel), vol. 13, no. 5, pp. 6492–6523, May 2013.

[6] L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Comput. Netw., vol. 54, no. 15, pp. 2787–2805, 2010. 


[7] P. Bellavista, G. Cardone, A. Corradi, and L. Foschini, “Convergence of MANET and WSN in IoT urban scenarios,” IEEE Sens. J., vol. 13, no. 10, pp. 3558–3567, Oct. 2013. 


[8] A. Laya, V. I. Bratu, and J. Markendahl, “Who is investing in machine-to- machine communications?” in Proc. 24th Eur. Reg. ITS Conf., Florence, Italy, Oct. 2013, pp. 20–23. 

[9] H. Schaffers, N. Komninos, M. Pallot, B. Trousse, M. Nilsson, and A. Oliveira, “Smart cities and the future internet: Towards cooperation frameworks for open innovation,” The Future Internet, Lect. Notes Comput. Sci., vol. 6656, pp. 431–446, 2011. 


[10] V. Bradshaw, The Building Environment: Active and Passive Control Systems. River Street, NJ, USA: Wiley, 2006. 


[11] B. Brumitt, B. Meyers, J. Krumm, A. Kern, and S. A. Shafer, “Easyliving: Technologies for intelligent environments,” in Proc. 5th Int. Symp. Hand- held Ubiquitous Comput. (HUC), 2000, pp. 12–29.