Open AccessDoor Access System Using Face Recognition
Author(s) -
Johannes Mae,
F. Rabbaanii,
R. B. Nasza
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/794/1/012127
Subject(s) - facial recognition system , computer science , artificial intelligence , computer vision , face detection , three dimensional face recognition , face (sociological concept) , histogram , pattern recognition (psychology) , feature (linguistics) , feature extraction , biometrics , face recognition grand challenge , embedding , access control , image (mathematics) , computer security , social science , linguistics , philosophy , sociology
This is a security system to restrict access to rooms using Raspberry Pi as main controller and implementation of Histogram of Oriented Gradients (HOG) feature extraction method. Upon face detection, the system is able to do face recognition for person identification by matching face embedding of the person face with one that already stored in database. This system also presents a random head-pose challenge to identify a real person from an image and then activate a solenoid to unlock the door. In this experiment, if the person is not wearing any face attributes, this system is tested to have 100% successful detection and recognition rate at 60 cm distance. If the person is wearing mask attribute, this system is tested to have 70% successful rate for detection and 45% successful rate for recognition at 60 cm distance.