This paper is about an automated indoor
surveillance system on android that works without the need
of any human intervention. An android phone is mounted on
the wall, which monitors a closed room. If any moving object
(i.e. intruder) enters the room, then the System automatically
alerts the remote registered user by sending a warning SMS
and photograph of the intruder. After alerting the user,
Video is recorded and an alarm starts ringing. The System
detects Intrusion through image processing. The motion is
detected using the Background Subtraction Algorithm of
Image Processing. Computational power and Camera of an
android phone is used to perform the video processing on the
phone itself.
Published In : IJCAT Journal Volume 3, Issue 3
Date of Publication : March 2016
Pages : 156 - 160
Figures :09
Tables : --
Publication Link :Indoor Surveillance System Using Android
Platform
Mandar Bhamare : Department of Computer Engineering,
Fr. Conceicao Rodrigues Institute of Technology
Vashi, Navi Mumbai. 400708, India
Sushil Dubey : Department of Computer Engineering,
Fr. Conceicao Rodrigues Institute of Technology
Vashi, Navi Mumbai. 400708, India
Praharsh Fulzele : Department of Computer Engineering,
Fr. Conceicao Rodrigues Institute of Technology
Vashi, Navi Mumbai. 400708, India
Rupali Deshmukh : Department of Computer Engineering,
Fr. Conceicao Rodrigues Institute of Technology
Vashi, Navi Mumbai. 400708, India
Dr. Shashi Dugad : Department of Computer Engineering,
Fr. Conceicao Rodrigues Institute of Technology
Vashi, Navi Mumbai. 400708, India
Indoor Surveillance, Image Processing, Android,
Opencv, Motion Detection, Background Subtraction
“Indoor Surveillance Using Android Platform” will be a
user friendly android application which will allow the user
to detect any kind of intrusion in a static background. This
application will overcome the drawbacks of the existing
system, thus making it more efficient than the once that
are already present. The aspects of the system that will
actually fascinate users are the reusability, real time
information about intrusion and the most important of all
cost of the system. An algorithm which gives highly
accurate results in less time and comparatively less cost
than the existing systems has been presented. This system
was built keeping in mind every possible behavior of the
intruder thereby enhancing the efficiency of the system.
Hence the system developed provides high efficiency in
less cost since no hardware complex connection is needed
and also because of less storage requirements.
[1] Surveillance (https://en.wikipedia.org/wiki/Surveillance)
[2] S. Chandana “Real time video surveillance system using
motion detection”, India Conference (INDICON), 2011
Annual IEEE.
[3]http://docs.opencv.org/2.4/modules/core/doc/operations_on_ar
rays.html#absdiff
[4] Thresholding (image processing)
https://en.wikipedia.org/wiki/Thresholding_%28image_pr
ocessing%29
[5] What are contours?
(http://docs.opencv.org/3.1.0/d4/d73/tutorial_py_contours
_begin.html#gsc.tab=0).