Open AccessFace Recognition System to RPA Software Design and Implementation
Author(s) -
Suwarno Suwarno
Publication year - 2020
Publication title -
jite (journal of informatics and telecommunication engineering)
Language(s) - English
Resource type - Journals
eISSN - 2549-6255
pISSN - 2549-6247
DOI - 10.31289/jite.v3i2.3106
Subject(s) - computer science , python (programming language) , facial recognition system , software , automation , scripting language , the internet , process automation system , artificial intelligence , face (sociological concept) , frame (networking) , software engineering , computer vision , operating system , pattern recognition (psychology) , mechanical engineering , telecommunications , engineering , social science , sociology
The purpose of this research is to build a face recognition system, and implement it into an RPA (Robotic Process Automation) software to expand automation capabilities. The system is built using the Python programming language. The face recognition algorithm that is used is an open-source library that has been pre-trained and developed beforehand along with a library called OpenCV. The client side of the system is desktop based, and requires a stable internet connection. Users of the system are able to register faces into the system, and then later detect and extract information from them using only images of faces with an average speed of 500 ms for every frame, with an accuracy of ~98% with tolerance set at the default value of 0.6. The system is also capable of automatically registering any new faces that it encounters.