REAL TIME SECURITY AND SURVILLANCE SYSTEM

Authors

  • Swapnil .S. More Dept. of E & T C, MITCOE, Pune, India
  • Prof R.Y. Mali Dept. of E & T C, MITCOE, Pune, India

Keywords:

Adaboost algorithm, Harr like features, Open CV

Abstract

 

The security is very important now days. It’s very important to detect, recognize or track the unknown face, objects for security purpose. For that Real Time Face detection and tracking and recognition is used and that is built in this system. For a face detection and tracking Raspberry Pi is used to process and extract information from images or videos without need of other processing unit. This system we proposed an image capturing technique on Raspberry Pi board without external processing unit. For Face detection Ad boost algorithm is and for abstract the face from the image or video Haar-Like features box is used. This system we presents a fast and better robust face detection and face tracking method from the video or image. In these systems in which motion region which contains faces and backgrounds in it the face is obtained based on motion detection, except the background. For the Face detection and tracking Ad boost algorithm is used and the face is extracted from the video or the image. For program Open CV is used to detect the face of the people from Open CV the system detect the other objects also by training it.

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Published

2021-01-31

Issue

Section

Articles

How to Cite

REAL TIME SECURITY AND SURVILLANCE SYSTEM. (2021). JournalNX - A Multidisciplinary Peer Reviewed Journal, 2(06), 22-25. https://repo.journalnx.com/index.php/nx/article/view/1018