Open AccessIntegration of opencv raspberry pi 3b+ and camera sensor in access control of vehicle ignition key system
Author(s) -
Lukman Medriavin Silalahi,
Imelda Uli Vistalina Simanjuntak,
Freddy Artadima Silaban,
Setiyo Budiyanto,
Heriyanto Heriyant,
Muhammad Ikhsan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/909/1/012002
Subject(s) - facial recognition system , process (computing) , windshield , computer science , key (lock) , lock (firearm) , raspberry pi , face (sociological concept) , access control , computer vision , face detection , artificial intelligence , embedded system , engineering , computer security , feature extraction , operating system , mechanical engineering , social science , internet of things , sociology , aerospace engineering
The use of sensors for safety and comfort in vehicles has increased, as in several studies that are being discussed, including the use of pressure sensors for applications in the TPMS system or face recognition system security. The purpose of this research is to reduce vehicle theft that is happening right now. This system consists of a face recognition system. This reason is based on the ineffectiveness of the vehicle handlebar / steering lock. But in this study, a vehicle safety prototype was designed with a face recognition method in the hope that this prototype was designed to provide a sense of comfort, security and also the vehicle becomes a privacy vehicle. The method used is the Local Binary Path Histogram method to detect image objects and a small camera to capture images of the face, using the Raspberry Pi as a tool control center (in which the process occurs: Scanning, Extracting, Comparing, Matching, and all have been incorporated in OpenCV). The output of this study is the face that has been recorded in the database as access to open access to vehicle security. The conclusion of this research is the process of facial recognition in real time activating the vehicle ignition lock system.