Open AccessDesign of Intelligent Facial Recognition System using AI for Surveillance Application
Author(s) -
Syed Ibrahim,
Syed Nahid Suleman,
Manikanta Suthapalli,
Abhishek Sharma,
K S Shilpa
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206383
Subject(s) - computer science , facial recognition system , software , computer security , face (sociological concept) , set (abstract data type) , face detection , security system , human–computer interaction , margin (machine learning) , artificial intelligence , machine learning , pattern recognition (psychology) , operating system , social science , sociology , programming language
Organizations presently continue to encounter significant security concerns; consequently, they require much particularly trained staff to achieve the coveted protection. This staff performs blunders that may affect the extent of security. A suggested solution to the matter mentioned above is a Face Recognition Security System, which can monitor and identify trespassers to blocked or high-security areas and assist in overcoming the margin of manual human oversight. This system is comprised of two halves: the hardware part and the software part. The hardware module incorporates a camera, while the software module includes software that uses face-detection and face-recognition algorithms. If a person infiltrates the confine in question, a set of snaps are captured by the camera and dispatched to the software to be examined/identified and equated with an existent database of trusted people. An alert is conveyed to the user if the infiltrator is not recognized.