Real Time AI Based Face Mask Detector

Medisetty Eswar, Nali Venkata Rao, Palla Dhanush, Meka Mohith Chowdary, V. Deepthi
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Abstract

The present Covid-19 pandemic, face mask detection identifying significant forward movement in the fields of image and computer observation. Several face detection models were developed utilizing various methods and techniques. The dataset arrangement supplied in this work, which was gathered from multiple sources, could be utilized by other to develop more complex representation such as those for facial identification software, facial positions, and facial component identification. The goal of project “Real Time AI Based Face Mask Detector”, It is develop a tool that really can identify a person image and to affect whether he or she is wearing a mask. COVID makes it necessary to wear a face mask to keep it safe. As the country begins to reopen in stages, face masks have become a crucial part of our everyday life to keep safe. Face masks will be essential for socializing and conducting business. As a result, this software uses a camera to notice whether a person is wearing a mask or not.
实时人工智能面具检测器
当前Covid-19大流行,口罩检测识别在图像和计算机观察领域取得了重大进展。利用各种方法和技术开发了几种人脸检测模型。这项工作提供的数据集排列来自多个来源,可以被其他人用来开发更复杂的表示,如面部识别软件、面部位置和面部成分识别。“基于实时人工智能的面具检测器”项目的目标是开发一种真正可以识别人的图像并影响他或她是否戴着面具的工具。COVID使人们有必要戴口罩以保证安全。随着国家开始分阶段重新开放,口罩已成为我们日常生活中保持安全的重要组成部分。口罩对于社交和开展业务至关重要。因此,这个软件使用一个摄像头来注意一个人是否戴着面具。
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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