Open AccessVehicle Parking Security System with Face Recognition Detection Based on Eigenface Algorithm
Author(s) -
Nia Maharani Raharja,
Muhammad Arief Fathansyah,
Anur Nazilah Chamim
Publication year - 2021
Publication title -
journal of robotics and control/journal of robotics and control (jrc)
Language(s) - English
Resource type - Journals
eISSN - 2715-5072
pISSN - 2715-5056
DOI - 10.18196/jrc.v3i1.12681
Subject(s) - eigenface , computer science , facial recognition system , process (computing) , face (sociological concept) , radio frequency identification , computer security , identification (biology) , key (lock) , security system , artificial intelligence , embedded system , pattern recognition (psychology) , operating system , social science , botany , sociology , biology
RFID (Radio Frequency Identification) card technology is used for intelligent parking systems. Officers no longer need to record and check manually and repeatedly every vehicle that comes in and out with this system. The system has a weakness, namely if the RFId card is dropped or lost, the person who finds it can use the card. For the purpose of increasing security for users, one of the latest technologies is the use of facial recognition methods. The eigenface algorithm system is an algorithm used for face recognition. The algorithm is used as a training process for the previously inputted employee faces. The results of the training data are stored in a database which is then used as a key to recognize the face of the owner of the motorized vehicle who took the motorcycle. In the trial results of the data application, motorized vehicle owners enter when the facial recognition level is above 70%.