Open AccessFace Recognition of Passenger for Bus Services
Author(s) -
Mohammad Azerul Azlan,
Abd Kadir Mahamad,
Sharifah Saon
Publication year - 2021
Publication title -
evolution in electrical and electronic engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2756-8458
DOI - 10.30880/eeee.2021.02.01.007
Subject(s) - raspberry pi , facial recognition system , computer science , the internet , face (sociological concept) , passenger information , quality (philosophy) , cloud computing , world wide web , transport engineering , artificial intelligence , engineering , operating system , feature extraction , internet of things , public transport , philosophy , epistemology , social science , sociology
Most university students are using the bus provided by the university's management to move from one place to another place. The analysis are required to improvise the quality of the of bus services such as the amount of passenger that using the bus and information of passengers such as gender. The objectives of this project are to develop face recognition system based on gender using Raspberry Pi 4 and Intel Neural Compute Stick 2 and to test and validate the performance of the developed system for face classification and passenger counting system. Also this system is able to store passenger information into Google Firebase Cloud with Internet of Things. This system is used Raspbian in Raspberry Pi 4 with the libraries that used for face classification and recognition such as OpenCV and OpenVINO. This project able to detect faces of the passengers soon as they ride the bus and determine gender of the passengers and count passengers according gender and the information of the passengers will stored in Google Firebase. There are some recommendation that need to be added in this project to improve efficiency of the system.