Smart Surveillance Using OpenCV, Motion Analysis And Facial Landmark

International Journal of VLSI & Signal Processing
© 2020 by SSRG - IJVSP Journal
Volume 7 Issue 1
Year of Publication : 2020
Authors : Prasanna Rajendra, Niket Worlikar, Yash Mahajan, Siddhesh Swami
How to Cite?

Prasanna Rajendra, Niket Worlikar, Yash Mahajan, Siddhesh Swami, "Smart Surveillance Using OpenCV, Motion Analysis And Facial Landmark," SSRG International Journal of VLSI & Signal Processing, vol. 7,  no. 1, pp. 11-14, 2020. Crossref,


This paper proposes the implementation of a smart surveillance monitoring system with the use of IP webcam and face recognition. The previous system on face recognition had many security flaws. Our system is better with the use of efficient yet effective Local Binary Patterns Histogram (LPBH) algorithm, Facial landmark and motion detection algorithms. The system can recognize a face with more accuracy and confirm whether it is a real person or not with minimal error rates. The Experimental results after getting implementations and testing is of accuracy 85%-95%.


Face Recognition, OpenCV, IP Webcam.


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