期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：3964-3968
DOI：10.35629/5252-030737733778
语种：English
出版社：IJAEM JOURNAL
摘要：With the inevitable breakout of the third wave of the Covid-19 pandemic tagged the Delta variant, there arises a severe need of protection mechanisms, face mask being the primary one.We have developed a model of Face Mask Detector which was built using Keras, TensorFlow, MobileNet and OpenCV. The architecture used for the object detection purpose is MobileNetV2 architecture which is computationally efficient and thus making it easier to deploy in real-time applications which require face-mask detection for protection purposes due to the outbreak of Covid19. Experimental results show that our model performed well on the test data with 99% precision, recall and accuracy. The validation results as shown in some of the selected screenshot indicates a 100% detection accuracy.
