SURVEY ON HOME SECURITY SURVEILLANCE SYSTEM BASED ON WI-FI CONNECTIVITY USING RASPBERRY PI AND IOT MODULE

Somesh Balani, Baswaraju Swathi, Niza Barun Shrestha

Abstract


This paper details the design and development of Wi-Fi connectivity based on home security surveillance camera using Raspberry Pi and an IoT Module reducing continuous human monitoring and controlling with enhanced performance and effective results.Adding wireless fidelity to embedded systems will open up various feasibilities such as worldwide monitoring and control, reliable data storage etc. This system comprises of wireless sensor nodes and a controller section for surveillance. Remote user alerts, live video streaming and portability are the prime features of the system.Modular design is followed so that any number of nodes can be added or removed; data acquisition is used to sample signals and measure real world physical conditions. The user is warned via e-mails, phone calls or SMS after an unusual behavior is occurred and an event notification is sent which shows the events captured by the camera. The IoT module eliminates the need of a microcontroller and wireless transceiver module in sensor node, thus it makes the node compact, cost effective and easy to use. The biggest advantage of the system is that the user can seek surveillance from anywhere in the world and can respond according to the situations.

Keywords


Raspberry Pi, Sensors, IoT, Embedded Systems, Microcontroller.

Full Text:

PDF

References


Smart Motion Detection System using Raspberry Pi, Priya B. Patel, Viraj M. Choksi, Swapna Jadhav, M.B. Potdar,IJAIS.

.Aamir Nizam Ansari, Mohamed Sedky, Neelam Sharma and Anurag Tyagi, “An Internet of Things Approach for Motion Detection using Raspberry Pi” International Conference on Intelligent Computing and Internet of Things (IC1T), 2015, IEEE.

Smart Motion Detection System using Raspberry Pi, Priya B. Patel, Viraj M. Choksi, Swapna Jadhav, M.B. Potdar, PhD, International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 10 – No.5, February 2016.

INCLUSIVE ANALYSIS OF INCOMPLETE DATA SETS USING IkNN SEARCH, Baswaraju Swathi, International Journal of Innovative Research in Computer and Communication Engineering, Vol.5, Special Issue 5, June 2017.

Clustering of Datasets Using K-Means Algorithm in SPARK,Subiksha,Pallavi,B.Mounica,ijircce,vol5,issu e 5,May,2017.

Muheden, Karwan, EbubekirErdem, and SercanVanin, “Design and implementation of the mobile fire alarm system using wireless sensor networks,” IEEE Int.Symp.Computational Intelligence and Informatics, 2016, pp. 000243000246.

Bai, Ying-Wen, Li-SihShen, and Zong-Han Li, “Design and implementation of an embedded home surveillance system by use of multiple ultrasonic sensors”, IEEE Transactions on Consumer Electronics 56, no. 1 (2010).

Bai, Ying-Wen, Zi-Li Xie, and Zong-Han Li, “Design and implementation of a home embedded surveillance system with ultra-low alert power”, IEEE Transactions on Consumer Electronics 57, no. 1 (2011).

Alan Mainwaring, Joseph Polastre, Robert Szewczyk, David Culler, John Anderson,”Wireless Sensor Networks for Habitat Monitoring.” WSNA’02, September 28, 2002, Atlanta, Georgia, USA.

NehaPatil, ShrikantAmbatkar and SandeepKakde,”IoT Based Smart Surveillance Security System using Raspberry Pi” International Conference on Communication and Signal Processing, IEEE, April 6-8, 2017.

.Shakthi Murugan.K.H,V.Jacintha, S.AgnesShifani,” Security System using Raspberry PI” Third International Conference on Science Technology Engineering & Management (ICONSTEM), IEEE,2017.




DOI: https://doi.org/10.26483/ijarcs.v9i2.5585

Refbacks

  • There are currently no refbacks.




Copyright (c) 2018 International Journal of Advanced Research in Computer Science