
Detection of a Human Body and object Sanitization using Deep Neural networks with Thermal Imaging
Publication year - 2020
Publication title -
international journal of bio-medical informatics and e-health
Language(s) - English
Resource type - Journals
ISSN - 2321-9017
DOI - 10.30534/ijbmieh/2020/01862020
Subject(s) - computer science , object (grammar) , artificial intelligence , computer vision , reuse , covid-19 , engineering , medicine , disease , pathology , infectious disease (medical specialty) , waste management
Thermal cameras or thermo graphic cameras are utilized in many different sectors like in industrial sector where it is used in metal reusing processing plants, water production line, detecting the heat of different machines and so on similarly, in healthcare it is used while taking out severe operations, detecting temperature of a human body and much more.it is also used by military for detecting intruders in nights and bad weather conditions where a normal camera cannot be used. Recent statistics indicate that the number of people diagnosed with COVID-19 is increasing exponentially, with more than 49 million confirmed cases; the disease is spreading to many countries across the world. In this paper, we proposed straightforward and quick recognition calculations into a cost effective detection of a body is properly sanitized or not sanitized using thermal imaging, this model can accomplish great precision in observing people warmth and distinguishing whether a body or an object is sanitized or not sanitized and can help to stop spreading of the deadly corona virus.