An access control facial recognition system using TinyML: Hardware component

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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.
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