Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading

Abstract

The rise of COVID-19 pandemic has had a lasting impact in many countries worldwide since 2019. Face-mask detection had been significant progress in the Image processing and deep learning fields studies. Many face detection models have been designed using different algorithms and techniques. The proposed approach in this paper developed to avoid mask-less people from entering to a desired places (i.e. Mall, University, Office, …etc.) by detecting face mask using deep learning, TensorFlow, Keras, and OpenCV and sending a signal to Arduino device that connected to the gate to be open. it detect a face in a real-time and identifies whether the person wear mask or not. The method attains accuracy up to 97.80%. The dataset provided in this paper, was collected from various sources.

An Integrated Gesture Framework of Smart Entry Based on Arduino and Random Forest Classifier

“…The study thus contributes significantly to the broader landscape of human-computer interaction, showcasing the potential of these technologies in multiple applications to smart home systems. Figure (6), shows the percentage of techniques compared in Table1.…”

“…The Arduino microcontroller is a fundamental element in the domain of electronic and embedded system projects, serving as a compact, yet powerful, integrated circuit capable of executing specific tasks such as input reading, data processing, and output control. Renowned for its simplicity and adaptability, the Arduino facilitates the interface between software and hardware, allowing for the realization of intricate and dynamic electronic systems [6].…”

“…Its ability to interpret signals from a software-based machine learning model, which processes and recognizes specific hand gestures, is crucial in applications such as smart door entry systems. Upon recognizing a gesture, the Arduino is programmed to undertake corresponding actions-such as controlling a locking mechanism-effectively bridging the gap between digital commands and physical responses [6].…”

“…Gesture-based entry systems emerged as a user-friendly and discreet alternative, balancing security with user convenience [5] The fusion of Arduino's versatility with complex gesture recognition algorithms, such as Random Forest, has given rise to advanced, user-friendly entry systems. [6]demonstrated Arduino's efficacy in developing intelligent systems, particularly in smart entry controls. The Random Forest method, an ensemble learning technique, is celebrated for its accuracy and ability to manage extensive feature sets, making it ideal for real-time gesture detection in diverse settings [7], [8].…”

Design of Intelligent Automated Quest Control System in the Covid-19 Era

“…The user interfaced with the Integrated Development Environment (IDE) is open source, so that it can be used freely. IDE is a special application program that is able to run on the computer systems by utilizing the C programming language to make the coding of the instruction to the system [32][33][34][35][36][37][38]. Table I provides of the hardware specifications.…”