Tarun Kumar,Pawan Kukreja,Dharmender Singh Kushwaha,Sanjeev Pippal,



Vehicle detection,Automatic number plate detection,Radio frequency identification, Sensors,


Internet of Things (IoT) is newfangled area of development that can lead to tremendous efficiency improvement in terms of expensive manpower saving, cost cutting, round the clock  availability and  modular structure to continuously improve processes and things. This paper proposes an application of the IoT in security and management of the army cantonment area. In the context of security, this paper proposes three kind of integrated applications. The Access control system ensures entry of the authorized vehicles using RFID and Automatic Number Plate Recognition techniques. Intrusion detection based on passive infrared, camera and thermal imaging is proposed at the next level. Gun fire detection in residential blocks of the army campus by using sound sensors ensures any intrusion, attack or any other undue situation. Apart from security, this paper also proposes intelligent use of water flow sensors for smart monitoring of underground drainage and water level sensors to reduce the wastage of water in tank overflow conditions. The proposed system is reliable, efficient in terms of accuracy, response time of the various modules, round the clock capability and economical in terms of operational and maintenance cost.


I. Cha, J.-R. and Kim, J.-H. Dynamic framed slotted ALOHA algorithms using fast tag estimation method for RFID system. Proc. IEEE CCNC, 2006, 768–772.
II. Ghayvat H., Mukhopadhyay S., Gui X., Suryadevara N. (2015). WSN-and IOT-based smart homes and their extension to smart buildings. Sensors. 4;15(5):10350-79.
IV. (2018)
V. (2018)
VI. (2018)
VII. Iamsa-at S and HorataP.. Handwritten Character Recognition Using Histograms Of Oriented Gradient Features in Deep Learning of Artificial Neural Network. In IEEE International Conference on IT Convergence and Security (ICITCS), pp. 1-5.
VIII. Krishnan, D., Muthaiah, R., Tapas, A., &Kannan, K. (2018). Evaluation of Local Feature Detectors for the Comparison of Thermal and Visual Low Altitude Aerial Images. Defence Science Journal, 68(5), 473-479.
IX. Kumar T. &Kushwaha, D. S. An Intelligent Reconnaissance Framework for Homeland Security. Def. Sci. J. 69, 4 (2019).doi:
X. Kumar, T., Gupta, S. &Kushwaha, D. S. An Efficient Approach for Automatic Number Plate Recognition for Low Resolution Images. in The fifth International Conference on Network, Communication and Computing (ICNCC) 2016 53–57.
XI. Maguire, Y. and Pappu, R. An optimal Q-algorithm for the ISO 18000-6C RFID protocol. IEEE transactions on automation science and engineering, 2009 6, 1, 16–24.
XII. Maisonneuve M. Ortiz et al.(2014). The cluster between Internet of Things and social networks: Review and research challenges, IEEE Internet Things J. , vol. 1, no. 3, pp. 206–215, Jun. 2014
XIII. Rao Y. R. Automatic smart parking system using Internet of Things (IOT). Int J EngTechnolSci Res. 2017 May;4(5).
XIV. Rathore M. M., Ahmad A., Paul A., Rho S. Urban planning and building smart cities based on the internet of things using big data analytics. Computer Networks. 2016 Jun 4;101:63-80.
XV. Singh, D. K. &Kushwaha, D. S. Automatic Intruder Combat System: A way to Smart Border Surveillance. Def. Sci. J. 67, 50 (2017).doi:
XVI. Verma, K., Kumar, A., &Ghosh, D. (2018). Robust Stabilised Visual Tracker for Vehicle Tracking. Defence Science Journal, 68(3), 307-315.
XVII. Wensheng S. and Chenmin J. A Novel Dynamic Frame Slotted ALOHA Algorithm for Anti-Collision in RFID Systems in Journal of Information and control, 2012, (2): 233-237.
XVIII. Yun M., Yuxin B. Research on the architecture and key technology of Internet of Things (IoT) applied on smart grid. InAdvances in Energy Engineering (ICAEE), 2010 IEEE International Conference on Jun 19 (pp. 69-72).
XIX. Zanella A. et al. (2014). Internet of Things for smart cities, IEEE Internet Things J. , vol. 1, no. 1, pp. 22–32.

View Download