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Intelligent mask recognition and voice dialogue system based on Raspberry Pi control
2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022 ; : 103-105, 2022.
Article in English | Scopus | ID: covidwho-2213253
ABSTRACT
As New Coronavirus continues to mutate, virulence and infectivity are constantly strengthened. 2019-nCoV has become the most deadly virus in recent years. Its main transmission route is droplet transmission. Wearing masks can effectively block the spread of viruses. Mask is an important defense line to prevent respiratory infectious diseases, which can reduce the risk of New Coronavirus infection. The mask can not only prevent the patient from spraying droplets and reduce the amount and speed of droplets.but also block the droplet core containing virus and prevent the wearer from inhaling. In public places.especially in places with large passenger flow, it is a drop in the bucket to rely solely on manual supervision of customers wearing masks. In order to solve this problem.an intelligent mask detection system is designed, It supports the corresponding models of all mainstream frameworks for face mask detection (pytorch, tensorflow, keras,mxnet and cafe) (the model trained by keras and other framework models converted),and provides the reasoning code of all five frameworks. At the same time.it also has the voice dialogue function,which can wake up the voice robot in real time and achieve man-machine communication. Let inspectors feel more at ease and consumers feel more at ease. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022 Year: 2022 Document Type: Article