YOLO V7 and Computer Vision-Based Mask-Wearing Warning System for Congested Public Areas

The impact of Covid 19 cases is increasing worldwide due to not complying with social distancing and mask-wearing rules in congested areas such as hospitals, schools, and malls where people have to be together. Although the authorities have taken various precautions to prevent not wearing masks, it is challenging to inspect masks in crowded areas. People who do not wear masks can be unnoticed by visual inspections, which is a critical factor in the increase of the epidemic. This study aims to create an Artificial Intelligence (AI) based mask inspection system with the YOLO V7 deep learning method to ensure that overcrowded public areas are protected from the Covid-19 epidemic. (English) [ FROM AUTHOR] Hastane, okul, alışveriş merkezi gibi insanların bir arada olması gereken kalabalık alanlarda sosyal mesafe ve maske takma kurallarına uyulmaması nedeniyle dünya genelinde Covid 19 vakalarının etkisi artıyor. Yetkililer her ne kadar maske takılmamasını engellemek için çeşitli önlemler alsalar da kalabalık ortamlarda maske denetlemesi güç olmaktadır. Ínsan eli ile yapılan denetimlerde maske takmayan kişiler gözden kaçabilmekte olup bu durum salgının artışında önemli bir etken olmaktadır. Bu çalışmanın amacı yoğun insan trafiğinin olduğu kalabalık ortamlarda insanların Covid-19 salgınından korunmalarını sağlamak için son teknolojik algoritma olan YOLO V7 derin öğrenme yöntemi ile Yapay Zeka (YZ) destekli maske denetleme sistemi oluşturmaktır. (Turkish) [ FROM AUTHOR] Copyright of Journal of the Institute of Science & Technology / Fen Bilimleri Estitüsü Dergisi is the property of Igdir University, Institute of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

[COVID-19 and Headaches]. / COVID-19 und Kopfschmerzen.

COVID-19 and Headaches Abstract. Headaches are a common symptom of COVID-19 infections. Patients generally describe them as bilateral, predominantly frontal, squeezing and of moderate or severe intensity. Searching for "Red Flags" often allows distinction from primary headaches - usually fever, cough, and elevated inflammatory markers accompany COVID-19-associated headaches. Prospective studies did not confirm caveats against the use of ibuprofen as symptomatic treatment. While carrying facial masks often caused headaches, probably by compressing sensory nerves, many patients' migraine frequencies dropped during lockdown. Treatment of patients with primary headaches was complicated by quarantine and many centres offered online consultations.