基于深度学习的面罩和屏蔽检测

Vaibhav Mukund Shinde, Nakshatra Jagtap, Hrushikesh Shukla
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引用次数: 0

摘要

由于Covid-19的快速传播,我们都面临着巨大的健康灾难。人们因这种致命的病毒而死亡。与感染者的身体接触可传播这种疾病。世界卫生组织(世卫组织)发布了许多避免感染新冠病毒的方法。在公共场所,戴口罩是最有效的自我保护策略之一。很长一段时间以来,一些国家一直处于封锁状态。随着世界恢复正常,在公共场所戴口罩可能至关重要。手动监控暴徒是很有挑战性的。所以,我们设计了一种方法来确定人群中是否有人戴口罩。所提出的框架能够以95.7%的准确率检测口罩和面罩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Learning based Face-Mask and Shield Detection
We all are facing an immense health calamity due to the speedy transmission of Covid-19. People are dying due to this deadly virus. Physical contact with an affected individual can transmit this disease. World Health Organization (WHO) issued many ways to avoid infection of Covid-19. In communal locations, wearing a face mask is one of the most effective strategies to protect oneself. For long periods of time, several countries have been in lockdown. As the world returns to normalcy, wearing a mask in public places might be crucial. Manually monitoring the mob would be challenging. So, we devised a way for determining whether or not a person in the crowd is wearing a mask. The proposed framework can detect masks and face shields with an accuracy of 95.7%.
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