Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Motion Detection Surveillance System Using Raspberry PI

Author : P.Akkesh Kumar 1 M.Felix Sundar 2 G.ArunPrasanth 3 G. Shobana 4

Date of Publication :7th February 2017

Abstract: The object of the system is to develop an alert system based on images for detecting the movement of trespassers. The images from the camera are compared with a reference image to detect any motion in the coverage area. If any motion is detected, a series of images are taken and transmitted to the Google drive via a Dongle connected to the Raspberry Pi and an email is sent to the user. Raspberry pi is a credit- card sized computer. There are various surveillance systems such as camera, CCTV etc. An android web application frequently checks the cloud for any new uploads. The user gets notification immediately, if any motion occurs in the coverage area. The user can download the captured images from the cloud through the web application.

Reference :

    1. RenukaChuimurkar “Smart Surveillance Security &Monitoring System Using Raspberry PI and PIR Sensor”, International Journal of Scientific Engineering and Applied Science (IJSEAS) – Volume-2, Issue-1, January 2016.
    2. Sanjana Prasad, P. Mahalakshmi, A. John Clement Sunder, R.Swathi “Smart Surveillance Monitoring System Using Raspberry PI and PIR Sensor”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7107-7109
    3. V.V.S. Murthy, CH. Aravind, K. Jayasri, K. Mounika and T.V.V.R Akhil “An Automatic Motion Detection System for a Camera Surveillance Video”, Indian Journal of Science and Technology, Vol 9(17), DOI: 10.17485/ijst/2016/v9i17/93119, May 2016
    4. Sreedevi M, Yaswanth Kumar Avulapati, AnjanBabu G, Sendhil Kumar R, “Real Time Movement Detection for Human Recognition”, Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I WCECS 2012, October 24-26, 2012, San Francisco, USA.
    5. Bagula, A., Castelli, L and Zennaro, ”On the design of smart parking networks in the smart cities: An optimal sensor placement model, Sensors”, (2015), Vol.15, No.7, pp.15443-15467

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