基于CCTV的防病毒口罩检测系统

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI:10.23919/spa50552.2020.9241303

K. Podbucki, J. Suder, T. Marciniak, A. Dabrowski

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引用次数: 7

摘要

本文介绍了使用神经网络检测防毒面具的人。该算法可以确定一个人是否戴着正确的口罩(遮住鼻子和嘴)。神经网络的使用已经与OpenCV库中提供的典型Haar级联正面解决方案进行了比较。所提出的解决方案已经检查了效率和精度，以及所得到的面部图像的最低分辨率要求。该软件既可以处理静态图像，也可以处理来自电脑网络摄像头和闭路电视摄像头的视频序列。

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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CCTV based system for detection of anti-virus masks

This paper presents the use of neural networks to detect people with anti-virus masks. The algorithm allows to determine if a person has a correctly worn mask (covered nose and mouth). The use of neural networks has been compared with typical Haar cascade frontal face solutions available in the OpenCV library. The proposed solution has been checked for efficiency and precision, as well as for the minimum resolution requirements of the resulting facial image. The software works on still images as well as on video sequences from computer webcams and CCTV cameras.

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来源期刊

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)

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