Advanced Face Recognition Based Door Unlock System using Arduino
Nethravathi B1, Sinchana S S2, Anil B C3

1Nethravathi B, Department of Information Science and Engineering, J S S Academy Of Technical Education, Bengaluru, Karnataka, India.
2Sinchana S S, Department of Information Science and Engineering, J S S Academy Of Technical Education, Bengaluru, Karnataka, India.
3Anil B C, Department of Information Science and Engineering, J S S Academy Of Technical Education, Bengaluru, Karnataka, India.

Manuscript received on 13 August 2019. | Revised Manuscript received on 19 August 2019. | Manuscript published on 30 September 2019. | PP: 7844-7848 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6541098319/2019©BEIESP | DOI: 10.35940/ijrte.C6541.098319

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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: Internet of Things (IoT) offers incipient and exhilarating opportunities to increment the connectivity of contrivances within the abode for the purport of home automation. Mobile contrivances are ideal in providing a utilizer Interface in a habitation Automation system, due to their portability and their wide range of capabilities. The main purpose of this paper is to design and implement an efficient home security system. Using IoT controlling and automating the entrance of house through an easy manageable interface and cloud can be used as database of the information collected. The proposed work consists of the home security with real time access and control via mobile phone and Arduino as control unit. A security system which has a webcam is deployed at the entrance of the house. This is connected to the Arduino. GSM module is used to send alert messages. Face recognition is done through EHD algorithm using MATLAB.
Keywords: Arduino, Face Recognition, Door Access Control, GSM Module, Camera, MATLAB.

Scope of the Article:
Pattern Recognition