Body Temperature and Oxygen Level Detection System

A device comprising an oximeter and a module for detecting body temperature has been designed so that a person can readily check his or her health in crucial situations. This was accomplished by programming Arduino to output values measured by sensors such as the MAX30102 (Particle Sensor) and GY-906-BCC (Infrared Sensor). We've all been dealing with a global pandemic for the past year. As a result, there have been numerous coronavirus discoveries. The COVID-19 virus primarily affects an individual's respiratory system, lowering the patient's oxygen levels, and it causes a rise in body temperature. This approach can be quite valuable in such situations and can aid in the regular monitoring of an individual's health. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Design of Campus Health Information System using Face Recognition and Body Temperature Detection

Currently under the epidemic crisis of COVID-19, campus epidemic prevention has become a hot topic, and temperature detecting equipment has become a necessity in public spaces. However, temperature detection systems that are widely sold on the market are relatively simple and cannot recognize personal identity. Besides, they cannot record individual temperature changes, and they are still inadequate in terms of managing personal health information. In this study, we proposed a system that can meet the needs of campus epidemic prevention called CHIS (Campus Health Information System). In CHIS, an infrared sensor is used for temperature detection and combined with face recognition. The body temperature is recorded while face recognition is performed, and the face ID and the collected real-time body temperature are transmitted to the cloud for viewing and managing by the school. The data will be managed centrally in the cloud and will be cleaned during daily processing. In the end, the student's health data history will be stored only in their personal Pod (Personal online datastore), a decentralized personal cloud data model that prevents the risk of large-scale data leakage due to centralized management. The combination of body temperature detection and face recognition avoids substituting the presence of a real person with photos or pictures, which further enhances security. It also reduces the risk of infection prompted by human detection, which increases safety. © 2021 IEEE.

Operation energy saving of central air conditioning based on auto-counting of people number

In the background of low carbon emission reduction, today's society has put forward higher requirements for improving the energy use efficiency of buildings and reducing building energy consumption, and reducing the energy consumption of central air conditioning systems in public buildings is also very important. Due to the persistence of the COVID-19 in recent years, the equipment with functions of temperature detection and reporting has become an essential way to prevent COVID-19 transmitting in public places. In this paper, a body temperature detection and data collection system is designed and further optimized, the number of people collected by this system is used as a basis to regulate the cooling load of central air conditioning to achieve energy saving. © 2021 IEEE.

Design and Development of a Smart Device to Combat COVID-19

The novel Coronavirus spread has affected our normal lifestyles enormously. People are living with a daily fright of exposing themselves to this deadly virus. Even though vaccines are being given to the general public worldwide, precautions have to be taken to reduce the spread of the virus. Wearing masks, social distancing and regular hand sanitizing are some of the preventive measures that are recommended by the World Health Organization. At most of the public places, non-contact thermometers are being used to monitor the temperature of each person and then they are asked to sanitize or wash their hands at the entrance. Other than temperature screening and sanitization practices, wearing face masks plays significant role in reducing the virus spread. At the entrance of public places, an officer checks if everyone entering the building is wearing face masks. However, the officers who are working at the temperature screening points and sanitization stations have a high risk of COVID-19 exposure. Hence there is a need for a system which can check if everyone entering the building are wearing masks automatically at the entrance. The system should also have the ability to monitor the body temperature and give access to people with normal body temperature level to enter the building. KLENSE is a smart device which can monitor the body temperature, check for face masks and dispense a regulated amount of sanitizer liquid automatically. KLENSE primarily checks for face masks, then monitors the temperature and finally controls the barrier or automatic door connected to it, to give access to the people with normal body temperature. © 2021 IEEE.