Highly Automatic Border Security System Using PLC
Abstract
The chief purpose of the paper is to improve the border security electronically with automation and with that to lessen the work load and control of the soldiers that incessantly take a look on border 24x7. This paper will not completely remove the management of soldiers but allowance the maximum control and will lessen human efforts on the border.
This basis in an easy way recognize the how many Strangers or terrorists come into the border. Real Submarine of the any country are their soldiers. The border region monitoring task can be attain using surveillance wireless sensor networks.
References
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[3] Ajay B Devkatte, Nitesh H Chavan, Manojkumar K Jha U. G. Student, Department Of Electronics Engineering, ACE, Malad, Mumbai, Maharashtra, India
[4] T. Adam Kelly Chief Technology Officer Detect-Inc. Panama City, FL, USA Adam.Kelly@Detect-Inc.com
[5] Shoai Mughal, Tahir Qadri, M. Shiraz Alam, Khan and Zia Mohy Uddin, Automated Gun Security System, International Journal of Advanced Research (IJAR), VOL 2, issue.
[6] R. Archibold "28-Mile Virtual Fence is Rising along the Border," New York Times, 26 June 2007.
[7] A.M.A. Ahmad, B.M.A Ahmad, L. Suh-Yin, "Fast and robust object detection framework in compressed domain," IEEE Sixth International Symposium on Multimedia Software Engineering
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[8] J. Shotton, A. Blake, R. Cipolla, "Contour-based learning for object detection," IEEE Tenth International Conference on Computer Vision, 2005, pp. 503-510.
[9] L. Duy-Dinh, S. Shin'ichi, "Robust object detection using fast feature selection from huge feature sets," 2006. IEEE International Conference on Image Processing, 2006, pp. 261-964
[2] Ahmad Ali, Hameed Kausar, Muhammad Imran Khan National Engineering & Scientific Commission, Islamabad, Pakistan, vol. 2, issue 3
[3] Ajay B Devkatte, Nitesh H Chavan, Manojkumar K Jha U. G. Student, Department Of Electronics Engineering, ACE, Malad, Mumbai, Maharashtra, India
[4] T. Adam Kelly Chief Technology Officer Detect-Inc. Panama City, FL, USA Adam.Kelly@Detect-Inc.com
[5] Shoai Mughal, Tahir Qadri, M. Shiraz Alam, Khan and Zia Mohy Uddin, Automated Gun Security System, International Journal of Advanced Research (IJAR), VOL 2, issue.
[6] R. Archibold "28-Mile Virtual Fence is Rising along the Border," New York Times, 26 June 2007.
[7] A.M.A. Ahmad, B.M.A Ahmad, L. Suh-Yin, "Fast and robust object detection framework in compressed domain," IEEE Sixth International Symposium on Multimedia Software Engineering
2004, pp. 210-217.
[8] J. Shotton, A. Blake, R. Cipolla, "Contour-based learning for object detection," IEEE Tenth International Conference on Computer Vision, 2005, pp. 503-510.
[9] L. Duy-Dinh, S. Shin'ichi, "Robust object detection using fast feature selection from huge feature sets," 2006. IEEE International Conference on Image Processing, 2006, pp. 261-964
Published
2021-10-01
How to Cite
HALDE, P R.
Highly Automatic Border Security System Using PLC.
Journal of Advanced Research in Microelectronics and VLSI, [S.l.], v. 2, n. 1, p. 18-21, oct. 2021.
Available at: <http://thejournalshouse.com/index.php/ADR-Microelectronics-VLSI/article/view/393>. Date accessed: 19 may 2024.
Section
Review Article
