Design and Implementation of COVID19 Safety Amalgamation
This article gives an explanation about constructing the system that helps in preventing the open out of the virus and also minimizes human association with possible and reduces costs associated with hiring employees for manual thermal screening and readings. Thus, automating the tasks such as automatic temperature screening, face mask detection using image processing methods, and automatic hand sanitizer dispenser with the help of the Internet of Things (IoT). In a world battling against novel coronavirus disease, technology has been a lifesaver. This amalgamate system has features like a quick and efficient contactless automatic temperature screening and automatic mask detection along with an automatic hand sanitization system which will be a prototype built at a reduced cost which will helpfully be ensuring safety for Corona Virus Disease (COVID19) Pandemic.
Keywords:Infrared Sensor (IR), Raspberry pi, Image Processing
Ashish Gupta, Rajesh Kumar, “Novel design of automatic sanitizer dispenser machine based on ultrasonic sensor”, IEEE, ISSN No: 0932-4747, Vol. 06, pp. 228-233, 2020.
Akash Chowdry, Prathap S. Gautham, Dwarakanath S K, “Automatic Water Dispenser”, MAT Journals, Vol 04, Issue 03, 2018.
Paul Alan Woelbing, Jayme D. Woelbing, Claudio Lucio Kolling Lins, “Hand Sanitizer and Dispenser”, Patent Application Publication Journal, 2013.
Lung-Sang Chan, Giselle T. Y. Cheung, Ian J. Lauder, Cyrus R. Kumana, “Screening for Fever by Remote-sensing Infrared Thermographic Camera”, Journal of Travel Medicine, Vol. 11, No. 5, PP. 273-279, November 2020.
Eddie Y.K. Ng, G.J.L. Kaw W.M. Chang, “Analysis of IR thermal imager for mass blind fever screening”, Elsevier, Microvascular Research 104–109, 2004.
Pierre Hausfater, Yan Zhao, Stephanie Defrenne, Pascale Bonnet, Bruno Riou, “Cutaneous Infrared Thermometry for Detecting Febrile Patients”, EID Vol. 14 No. 8, August 2008.
Arjya Das, Mohammad Wasif Ansari, Rohini Basak, “COVID19 Face Mask Detection Using TensorFlow, Keras, and OpenCV”, Jadavpur University Kolkata, India.
Rafiuzzaman Bhuiyan, Sharun Akter Khushbu, Sanzidul Islam, “A Deep Learning Based Assistive System to Classify COVID19 Face Mask for Human Safety with YOLOv3”, IEEE 11th ICCCNT, IIT- Kharagpur, July 2020.
G. Jignesh Chowdary, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal, “Face Mask Detection using Transfer Learning of Inception”, Vellore Institute of Technology, Chennai, IIIT Allahabad, Oct 2020.
Wei Bu, Chuanhong Zhou, Jiangjian Xiao, Chengbin Peng, Minmin Yang, “A Cascade Frame-work for Masked Face Detection”, IEEE Xplore, 2017.
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