IoT-Enabled smart doors for monitoring body temperature and face mask detection

Global Transitions Proceedings Pub Date : 2021-11-01 DOI:10.1016/j.gltp.2021.08.071

B Varshini, HR Yogesh, Syed Danish Pasha, Maaz Suhail, V Madhumitha, Archana Sasi

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引用次数: 49

Abstract

COVID 19 pandemic is causing a global health epidemic. The most powerful safety tool is wearing a face mask in public places and everywhere else. The COVID 19 outbreak forced governments around the world to implement lockdowns to deter virus transmission. According to survey reports, wearing a face mask at public places reduces the risk of transmission significantly. In this paper, an IoT-enabled smart door that uses a machine learning model for monitoring body temperature and face mask detection. The proposed model can be used for any shopping mall, hotel, apartment entrance, etc. As an outcome a cost-effective and reliable method of using AI and sensors to build a healthy environment. Evaluation of the proposed framework is done by the Face Mask Detection algorithm using the TensorFlow software library. Besides, the body temperature of the individual is monitored using a non-contact temperature sensor. This proposed system can detect the users from COVID 19 by enabling the Internet of Things (IoT) technology.

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支持物联网的智能门，用于监测体温和口罩检测

COVID - 19大流行正在引发全球卫生流行病。最有效的安全工具是在公共场所和其他任何地方戴口罩。COVID - 19的爆发迫使世界各国政府实施封锁以阻止病毒传播。根据调查报告，在公共场所佩戴口罩可显著降低传播风险。在本文中，一个物联网智能门使用机器学习模型来监测体温和口罩检测。所提出的模型可用于任何购物中心、酒店、公寓入口等。因此，使用人工智能和传感器建立健康环境的成本效益高且可靠的方法。使用TensorFlow软件库的人脸检测算法对所提出的框架进行评估。此外，使用非接触式温度传感器监测个体的体温。该系统可以通过启用物联网(IoT)技术来检测COVID - 19用户。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Global Transitions Proceedings

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