دسته بندی:

بینایی ماشین - Machine vision

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سال انتشار:

2022

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عنوان انگلیسی مقاله:

Face mask recogniser using image processing and computer vision approach

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ترجمه فارسی عنوان مقاله:

تشخیص ماسک صورت با استفاده از پردازش تصویر و رویکرد بینایی کامپیوتری

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منبع:

ScienceDirect- Elsevier- Global Transitions Proceedings, 3 (2022) 67-73: doi:10:1016/j:gltp:2022:04:016

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نویسنده:

A.K. Sharadhi

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چکیده انگلیسی:

The world saw a health crisis with the onset of the COVID-19 virus outbreak. The mask has been identified as the most efficient way to prevent the spread of virus [1]. This has driven the necessity for a face mask recogniser that not only detects the presence of a mask but also gives the accuracy to which a person is wearing the face mask. Also, the face mask should be recognised in all angles as well. The goal of this study is to create a new and improved real time face mask recogniser using image processing and computer vision approach. A Kaggle dataset which consisted of images with and without masks was used. For the purpose of this study a pre-trained convolutional neural network Mobile Net V2 was used. The performance of the given model was assessed. The model presented in this paper can detect the face mask with 98% precision. This Face mask recogniser can effi- ciently detect the face mask in side wise direction which makes it more useful. A comparison of the performance metrics of the existing algorithms is also presented. Now with the spread of the infectious variant OMICRON, it is necessary to implement such a robust face mask recogniser which can help control the spread.
keywords: Computer Vision | Convolutional Neural Network | Face mask detection | Image processing | Kaggle dataset | Keras | MobileNetV2 | Open CV | Tensor-Flow

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قیمت: رایگان

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توضیحات اضافی:

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