Author(s): Pooja Nagpal, Shalini Bhaskar Bajaj, Aman Jatain, Sarika Chaudhary

Email(s): pbnagpal@ggn.amity.edu

DOI: 10.52711/2321-581X.2021.00006   

Address: Pooja Nagpal, Shalini Bhaskar Bajaj, Aman Jatain, Sarika Chaudhary
Department of Computer Science, Amity University, Gurugram, India.
*Corresponding Author

Published In:   Volume - 12,      Issue - 2,     Year - 2021


ABSTRACT:
It is the capability of humans and as well as vehicles to automatically detect object level motion that results into collision less navigation and also provides sense of situation. This paper presents a technique for secure object level motion detection which yields more accurate results. To achieve this, python code has been used along with various machine learning libraries. The detection algorithm uses the advantage of background subtraction and fed in data to detect even the slightest movement this system makes use of a webcam to scan a premise and detect movement of any sort; on the recognition of any activity it immediately sends an alert message to the owner of the system via mail. Any person requiring a surveillance system can use it.


Cite this article:
Pooja Nagpal, Shalini Bhaskar Bajaj, Aman Jatain, Sarika Chaudhary. Motion Detection of Webcam Using Frame Differencing Method. Research Journal of Engineering and Technology. 2021;12(2):32-8. doi: 10.52711/2321-581X.2021.00006

Cite(Electronic):
Pooja Nagpal, Shalini Bhaskar Bajaj, Aman Jatain, Sarika Chaudhary. Motion Detection of Webcam Using Frame Differencing Method. Research Journal of Engineering and Technology. 2021;12(2):32-8. doi: 10.52711/2321-581X.2021.00006   Available on: http://ijersonline.org/AbstractView.aspx?PID=2021-12-2-2


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