z-logo
open-access-imgOpen Access
Advanced Face Recognition Based Door Unlock System using Arduino
Author(s) -
Nethravathi B*,
S S Sinchana,
B C Anil
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6541.098319
Subject(s) - arduino , gsm , computer science , embedded system , interface (matter) , software portability , cloud computing , facial recognition system , remote control , home automation , mobile phone , automation , phone , computer security , operating system , the internet , computer hardware , artificial intelligence , engineering , pattern recognition (psychology) , mechanical engineering , linguistics , philosophy , bubble , maximum bubble pressure method
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here