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Smart System for Detecting the Entry of Authority People in the Security Facilities Based IoT using SURF Recognition and Viola-Jones Algorithms
Author(s) -
Nadia Mahmood Hussien,
Mohanad Ali Meteab Al-Obaidi,
Rasha Awad Abtan,
Anwar H. Al-Saleh,
Ali A. Al-Zuky
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1963/1/012075
Subject(s) - arduino , computer science , facial recognition system , set (abstract data type) , computer security , viola , image (mathematics) , face (sociological concept) , home security , audit , face detection , internet of things , security system , artificial intelligence , algorithm , operating system , pattern recognition (psychology) , business , sociology , art , social science , piano , art history , programming language , accounting
Modern security systems are beginning using advanced technologies to detect any security breaches via a combination of devices, programming methods and notify security personnel of monitoring of any security breach, starting with people entering the building, ending with monitor the electronic archive in computers, monitor employees-customers calls, and banking accounts. Which consists of two stages, as the first stage relates to building an Arduino system to detect employees entering the building using the Arduino UNO, passive infrared sensor (PIR) hardware then requesting from the employee to go to the security audit platform to compare the face image with the database images using the viola-jones algorithm facial recognition program based on SURF algorithm. If the image is identical, he is allowed to enter and if the face image does not match the set of images in data set, he is asked to wait in the queries office. Also, the system can send all data to the central security authority with the date and times of entry for persons through the WhatsApp using Twilio IoT application.

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