Indoor Surveillance System Using Android Platform  
  Authors : Mandar Bhamare; Sushil Dubey; Praharsh Fulzele; Rupali Deshmukh; Dr. Shashi Dugad

 

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).