An access control facial recognition system using TinyML: Hardware component
Date
2022-05
item.page.datecreated
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Technological advancement brought about improvements in the way IoT systems
are implanted. The introduction of Tiny Machine Learning (TinyML) and edge computing
has made it possible to process data at the edge and carry out machine learning processes
at the edge without relying solely on cloud platforms for such purposes. Due to the
advancement in technology, security can be improved and achieved at a cheaper cost. This
project exploits TinyML technology to develop an access control system that uses facial
recognition to control access to a room. The proposed system sends data that contains the
name of the person who accessed the room and the time the room was accessed. This
allows the user to monitor when and who accessed a room. The project focuses on the
hardware aspect of the system. The system was able to grant access to authorized persons
and can also be controlled from the web application.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, May 2022
item.page.type
Capstone Project