Author:
M. Almufti Saman,B. Marqas Ridwan,A. Nayef Zakiya,S. Mohamed Tamara
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.
Publisher
Qubahan Organization for Development
Cited by
6 articles.
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1. Face Mask and Social Distancing Detection in Real Time;Advances in Web Technologies and Engineering;2023-06-30
2. Face Mask Detection using Convolutional Neural Network;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18
3. Biometric Aided Intelligent Security System Built using Internet of Things;2023 Second International Conference on Electronics and Renewable Systems (ICEARS);2023-03-02
4. An IoT based Smart Robot that Aids in the Prevention of COVID19 Spread;2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI);2022-12-17
5. Face Mask Detection Using Artificial Intelligence to Operate Automatic Door;Data Intelligence and Cognitive Informatics;2022-12-03