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Research Paper | Computer Science | India | Volume 12 Issue 5, May 2023

Facemask Detection using Deep Learning Algorithm

Yogesh Kumar ^[12] | Jitender Kumar ^[4]

Abstract: The concept of deep learning has attracted a variety of application domains. However, it is necessary to improve the precision and effectiveness of the many contemporary systems. In this work, an attempt is made to limit the occlusions in crowded conditions by using a mix of single - stage and two - stage detectors. In spite of its speed, the ensemble approach ought to provide results that are highly precise. Previous work on topics such as the Internet of Things, pattern rearrangement, and face mask detection assisted in the discovery of research challenges associated with this topic. Combining compression, edge detection, and a neural network is an interesting concept with the goal of improving performance while maintaining or improving accuracy. The f - score, the recall value, and precision are the metrics that are used to evaluate the performance and accuracy of the work.

Keywords: Face Mask, Deep Learning, Internet of Things (IoT), Edge Detection, Accuracy

Edition: Volume 12 Issue 5, May 2023,

Pages: 1520 - 1524