دورية أكاديمية

Towards robotics and artificial intelligence for the prevention of Covid 19 pandemic

التفاصيل البيبلوغرافية
العنوان: Towards robotics and artificial intelligence for the prevention of Covid 19 pandemic
المؤلفون: Senhaji Saloua, Faquir Sanaa, Ouazzani Jamil Mohammed
المصدر: E3S Web of Conferences, Vol 229, p 01035 (2021)
بيانات النشر: EDP Sciences, 2021.
سنة النشر: 2021
المجموعة: LCC:Environmental sciences
مصطلحات موضوعية: Environmental sciences, GE1-350
الوصف: In times of medical crisis, robotics and artificial intelligence helps humans manage emergencies and ensure a fast and efficient decontamination process. In this paper, we propose a robot with temperature detection, Corona virus checker using new biosensors, and artificial intelligence facial mask detection based on the deep convolutional neural network. Our robot can sterilize and patrol any type of area. In particular, airports, the train station and transport facilities which are the routes of transmission of the virus from one country to another.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2267-1242
Relation: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/05/e3sconf_iccsre2021_01035.pdf; https://doaj.org/toc/2267-1242
DOI: 10.1051/e3sconf/202122901035
URL الوصول: https://doaj.org/article/fcd34c9d7b47424a919b485c7d0aad13
رقم الأكسشن: edsdoj.fcd34c9d7b47424a919b485c7d0aad13
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22671242
DOI:10.1051/e3sconf/202122901035