Real Time Face Detection using DNN with Raspberry Pi 4

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Abstract

The concept of face recognition is in the emerging trends nowadays ,because of its wide application range .Usually ,the face recognition is used in the surveillance ,security and Here, Face recognition is used to allocate attendance for a candidate.Deep neural networks is a group of artificial intelligence entirely based on neural networks, because the algorithm will imitate the human brain, so deep learning can be a kind of imitation of the human brain.Local Binary Pattern (LBP) is a basic but also very advanced creaminess operator that names image pixels through thresholding every pixel's district and considers the outcome as just a binary number.If the recognised face is not authenticated or if unauthorised person is identified by the system ,it immediately alerts the server and the classroom door remains closed. In this project we have created our own database with faculty and students of our section using Logitech C270 HD camera with resolution of 720p/30fps.

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Kumer S V*, Dr. A. … Sugandhi, Polinati. S. S. (2019). Real Time Face Detection using DNN with Raspberry Pi 4. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 9771–9778. https://doi.org/10.35940/ijrte.d9267.118419

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