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Real Time Face Detection using DNN with Raspberry Pi 4
Aswin Kumer S V1, Raja Chandrasekaran2, Mandadi Karthik3, Polinati Sri Sai Sugandhi4, Gade Vijaya Venkateswara Reddy5
1Dr.Aswin Kumer S V Assistant Professor in Department of Electronics and Communication Engineering at KLEF (Deemed to be University), Guntur (A.P.) India.
2Dr. C. Raja Assistant and Associate Professor in Engineering colleges in India. His present affiliation is with KL University, Vijayawada, India.
3Mandadi. Karthik, Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, (A.P.) India.
4Gade.Vijaya Venkateswara Reddy, Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, (A.P.) India.
5Polinati.Sri Sai Sugandhi, Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, (A.P.) India.

Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9770-9778 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9267118419/2019©BEIESP | DOI: 10.35940/ijrte.D9267.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Face Recognition, Deep Neural Network, RPI Cloud, Attendance Postage, Motor Driver.
Scope of the Article: Pattern Recognition.