Face Recognition Using OpenCv Based On IoT for Smart Door

8 Pages Posted: 14 Jun 2019

See all articles by A. D. Deshmukh

A. D. Deshmukh

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering

Mahender G. Nakrani

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering

D. L. Bhuyar

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering

U. B. Shinde

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering

Date Written: February 23, 2019

Abstract

Automated embedded systems have made a lot of progress in today’s world. The significance of such system in applications like surveillance, private security has been proven to be very effective. This paper discusses a face recognition system which is designed and implemented for doors resulting in smart doors based on IoT. The paper intends to provide the information to the user using open source technology which comprises of OpenCV2, LBPH algorithm, SMTP, raspberry pi3,pi camera. The implementation area is categorized more on local level like home, offices and campus. The system provides real time face detection and recognition once the bell is triggered. The captured image is analyzed with the available database and if it is a match, the access is granted and door will open. On the contrary if the face did not match the captured image is then sent to the user mail using SMTP. The system will then wait for the response from user within stipulated time with appropriate message. The message is retrieved on raspberry pi using IMAP. Based on the retrieved message context either access will be granted or denied. The sys-tem is acting as a base station. The wireless communication is achieved using SMTP and IMAP. The aim of the system is to develop a real time face recognition model having low cost solutions in security.

Keywords: Face Recognition, OpenCv2, LBPH, Raspberry Pi 3, IoT, Security, SMTP, IMAP

Suggested Citation

D. Deshmukh, A. and G. Nakrani, Mahender and L. Bhuyar, D. and B. Shinde, U., Face Recognition Using OpenCv Based On IoT for Smart Door (February 23, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3356332 or http://dx.doi.org/10.2139/ssrn.3356332

A. D. Deshmukh (Contact Author)

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering ( email )

Aurangabad
India

Mahender G. Nakrani

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering ( email )

Aurangabad
India

D. L. Bhuyar

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering ( email )

Aurangabad
India

U. B. Shinde

CSMSS Chh. Shahu College of Engineering - Department of Electronics & Telecommunication Engineering ( email )

Aurangabad
India

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