ABSTRACT
Recent pandemic of Covid-19 has diffused and become concern to the world. The disease is contagious and infected many people within short time. The Covid-19 has infected more than 100 million of reported cases according to the WHO with more than 2 million deaths. Many symptoms found in infectee of Covid-19 such as fever, dry cough, etc. One of the symptoms, shortness of breath, is found in 18.6% of infectee. Part of people infected by COVID-19 suffered from acute difficulty in breathing which need a help from ventilator for breathing. The ventilator plays important role in saving the Covid-19 patients. Ventilator can aid the patient to breath easily and supporting the lungs by letting in the sufficient air while encountering the hard breathing. In developed area, the ventilator is limited while the demand during pandemic gets increased. This paper proposes a low-cost prototype of ventilator for Covid-19 patient which integrated with IoT. The technology supports the clinicians to monitor the patient condition by letting the ventilator and the phone or tablet to be connected and exchange information. © 2021 IEEE.
ABSTRACT
Coronavirus is the new virus that has not been identified in humans before which it causes the coronavirus disease called COVID-19. This disease was firstly discovered in Wuhan, China, on December 2019 and spread to the world until now. The virus can easily pass from person to person which make it spreaded rapidly. One of the common symptom of COVID-19 that can be easily identified is fever. Since the virus outbreak, thermal screening using infrared thermometers are used at public places to check the body temperature to identify the indicated infectee among crowd. This prevention still lacking because it spends a lot of time to check the body temperature from every person and the most importance is the close contact of the infectee might lead to spreading it to the person who do the screening process or from the one in charge of screening to the checked people. This study proposes the design of system that has capability to detect the coronavirus automatically from the thermal image with less human interactions using smart helmet with Mounted Thermal Imaging System. The thermal camera technology is integrated to the smart helmet and combined with IoT technology for monitoring of the screening process to get the real time data. In addition, the proposed system is Equipped with the facial-recognition technology, it can also display the pedestrian's personal information which can automatically take pedestrians' temperatures. This proposed design has a high in demands from the healthcare system and can potentially help to prevent for coronavirus spreading wider. © 2020, Hampstead Psychological Associates. All rights reserved.
ABSTRACT
The most recent pneumonia outbreak caused by a novel coronavirus (COVID-19) in China is posing a great threat and declared a global public health emergency. This disease was firstly discovered in Wuhan, China, on December 2019 and spread to the world until now. Nowadays, infrared thermometers are being used everywhere to check the body temperature in places with large number of people. But this action is not really effective even it might cause the spread of the coronavirus from the infectious people to the person who does the screening process. In order to solve this issue, the fast and precise identification of coronavirus is needed. The aim of this study is to design a system that has capability to detect the coronavirus automatically from the thermal image fast with less human interactions using IoT based smart glasses technology. Furthermore, the proposed design has capability to perform face detection on suspected case of Covid-19 among crowds who has high body temperature. The design will add information of the visited location of the suspected carriers of the virus through Google Location History (GLH) to provide reliable data on the detection process. © 2020 SERS.