ABSTRACT
Developing an automatic door-opening system that can recognize masks and gauge body temperature is the aim of this project. The new Corona Virus (COVID-19) is an unimaginable pandemic that presents the medical industry with a serious worldwide issue in the twenty-first century. How individuals conduct their lives has substantially changed as a result. Individuals are reluctant to seek out even the most basic healthcare services because of the rising number of sick people who pass away, instilling an unshakable terror in their thoughts.This paper is about the Automatic Health Machine (AHM). In this dire situation, the government provided the people with a lot of directions and information. Apart from the government, everyone is accountable for his or her own health. The most common symptom of corona infection is an uncontrollable rise in body temperature. In this project, we create a novel device to monitor people's body temperatures using components such as an IR sensor and temperature sensor. © 2023 IEEE.
ABSTRACT
Globally, atmospheric carbon dioxide (CO2) concentration is rising due to rising carbon-based fuel consumption and ongoing deforestation. As carbon dioxide levels grow due to the warming trend, the atmosphere's temperature is predicted to climb. Increased fatigue, headaches, and tinnitus are just a few health issues that high CO2 concentrations in the atmosphere can cause. The electrical activities of the brain, the heart, and the lungs have all been demonstrated to change significantly after a brief exposure to 0.1 percent CO2. Continuous measurements of the atmospheric CO2 content have recently been shown to help evaluate the ventilation conditions in buildings or rooms. Additionally, it prevents the development of the severe acute respiratory syndrome coronavirus 2 (Severe acute respiratory). The coronavirus, known as a powerful acute respiratory, can make people ill. This has grown to be a significant concern in emergency medicine. © 2022 IEEE.
ABSTRACT
Currently, the entire planet is terrified of a virus known as COVID-19 (coronavirus). Its effects are so deadly that the whole world has been placed on lockdown. Vaccines for this virus are being developed by scientists and physicians all over the world. Machine learning, the Internet of Things (IoT), and artificial intelligence all play a role in detecting people who have been affected by coronavirus. We have also operated in this direction and developed a system called "Health Detection System for COVID-19 Patients using IoT" which can identify coronavirus-infected people and create a database for easy monitoring. Our system named as "Health Detection System for COVID-19 Patients using IoT" can detect corona by measuring the temperature and oxygen level of the patient. The system will detect the temperature of person with the help of DHT sensor and the oxygen level with the help of MAX30100, which are interfaced with NodeMCU. Data will be uploaded on ThingSpeak server (cloud) through which it can be monitored. The system is quite simple and very effective, especially at the hospital (ICU) where doctors can monitor patient from a distant place. Complete system cost around Rs 1,000/- (Rupees One Thousand Only). © 2022 Scrivener Publishing LLC.
ABSTRACT
In this project the system has been designed in the manner to detect the body temperature and oxygen saturation level (SpO2) of the person. To detect the body temperature and oxygen pulses we are using the respective sensors. The sensors we are using in this project is MLX90614 ESF thermometer and MAX30100 is integrated with the pulse oximeter. Here we have used the two Node MCU (ESP 32) for the different sensors, one Node MCU is connected to the temperature sensor and another Node MCU is connected to the pulse oximeter. The components we are using in this project is Eco friendly. The software we are using in this project is ARDUINO UNO R3 IDE (Integrated development board) and To show the results we are making use of Blynk app. The maximum errors we get in this project is about 2%. When it comes to health monitoring, it has shown the good results. This is the best way to minimize the spread of the COVID-19. It is a low cost and high functionality which makes it use in the different places like Hospitals, Malls, Sports etc. © 2022 IEEE.
ABSTRACT
This paper projects machine learning as a valuable tool for the restriction of the Covid-19 pandemic escalation in the global scenario. The proposed system involves detection of masked or unmasked people and a temperature sensing system for ensuring Covid-19 appropriate protocol is followed to allow only healthy person(s) in public/crowded places. The integration of Arduino Uno and MLX90614 non-contact temperature sensor, along with a MobileNetV2 machine learning model, is performed for complete execution. The system will classify a person as a masked or unmasked individual using ML techniques and detect their body temperature. If the individual meets the appropriate requirements, the system will enable them to access via the gate, which will be controlled by a servo motor in conjunction with a temperature sensor module. © 2022 IEEE.
ABSTRACT
With the increasing emergence of new diseases and ailments, health care facilities are gradually becoming an integral part of our lives. The most important thing in these healthcare facilities is safety of the patients. With an ever increasing population, automatic health monitoring systems are gaining importance too. They are highly sought after since they provide exact information while remaining cost-effective and minimizing medical practitioners' and patients' stress. Among various health procedures, intravenous therapy is an often used medical method to deliver fluids, medications and nutrients into a patient's veins. It requires manual monitoring by the medical staff and negligence can cause fatal risks. Further, with COVID-19, the burden and pressure on medical professionals increased manifold which enhanced the chances of negligence. The aim of this paper is to create a practical, budget-friendly and Internet of Things based monitoring device for intravenous therapy. The proposed system consists of a light dependent resistor for detection of fluid level in the IV drip bottle and air bubble formation in IV tube. When the fluid in the IV drip bottle reaches a critical level or air bubble is detected, a notification will be received by the concerned staff. Also, an auditory and visual alert will notify the people present in the patient's room. This will enable the medical professionals to immediately attend to the patient without the hassle of periodic monitoring. © 2022 IEEE.
ABSTRACT
The main purpose of this study is to track down corona virus interactions using the Internet of Things. The sickness is reported to be very contagious when it comes into touch with sick people. High fever, cough, and trouble breathing are the most common signs of COVID19. They've demonstrated how the sickness has evolved to conceal its signs. Because this sickness is highly contagious, it has the potential to spread rapidly, killing thousands of people. And the transmission chain must be identified as a top concern. The Internet of Things are collection that work together to accomplish a goal. Every object has its own identity, which will be used to record main Occurrences serve as a springboard for future learning and judgments. In the medical industry, IoT plays an indisputable role in disease identification and surveillance. A new epidemic is spreading across the globe. Amid a slew of other life-threatening illnesses Despite tight lockdown procedures, COVID-19, a respiratory syndrome virus discovered in 2019, is now posing a significant threat to countries. Conclusions - The authors of this study created a design for an IoT system that collects data from individuals via sensors and sends it to clinicians via mobile phones, computers, and other devices to predict the Covid-19 sickness. The main goal is to predict COVID-19 so that early health surveillance may be provided. Therefore, the writers are able to distinguish between the two. © 2022 IEEE.
ABSTRACT
People's lives can be lost if they do not receive timely medical treatment;therefore, prompt medical care is vital. Furthermore, due to a lack of constant vital monitoring, early symptoms of major medical conditions, such as an irregular heartbeat or abnormal ECG output, are occasionally ignored. As a result, remote monitoring of the elderly and disabled is important during the COVID 19 outbreak. To solve these issues, a "Remote Health Monitoring and Doctor on Call System"has been developed. Health data exchange between healthcare providers and family members is becoming more prevalent these days. It ensures that patients' health results are safer and better. Sharing health-care data is also essential for lowering health-care expenses. It is feasible to remotely monitor a crippled or elderly patient's health. In addition to specialists, guardians can obtain a comprehensive picture of the patient's medical history. To address the issue of insufficient medical care and assistance for elderly and disabled patients, a unique and comprehensive Remote Health Monitoring and Doctor on Call System that can monitor the patient's vital signs such as heart rate, body temperature, and ECG output of the heart;monitor the patient's environment;display and store all of this information via a cloud server using ThingSpeak and Ubidots IoT platform;display these critical statistics with a mobile application for Android/iOS and in the event of an emergency or if vital signs are abnormal, contact the nearest hospital was developed in this paper. © 2022 IEEE.
ABSTRACT
The objective of the paper is to monitor the temperature of students at the entrance and take the necessary steps quickly to overcome the spread of COVID-19. The proposed system consists of a Contactless IR Infrared Temperature Sensor Mlx90614, a NodeMcu, RFID Receiver, RFID Tags and a Buzzer. The Contactless IR Infrared Mlx90614 Temperature Sensor helps in predicting the body temperature. If the temperature range exceeds the normal limit, it stops allowing the person to enter the academic premises. This is done by Machine Learning algorithms. The Temperature is predicted by the ML algorithms and a notification is sent to the Incharge through IFTTT. This implementation helps to stop the spread of COVID-19 and acts as a prevention measure. A unique RFID receiver placed near the entrance aids in the identification of the corresponding student by scanning a unique RFID tag. The ID matches with the database and predicts the contact details, which are sent to the in-charge via SMS. For intelligence decision-making, machine learning is applied to analyze the temperature history for corresponding students from the database, which helps to enable us to accurately detect the affected range. The NodeMCU acts as the brain of the circuit, It controls and processes the data collected from the RFID tag and the wireless temperature sensor. Also, it connects with the IoT cloud using a Wi-Fi module. The buzzer is used to alert the student when the temperature measured is higher than the threshold temperature level. The servo motor is used to control the opening and closing of the door. Thus, the system helps to identify the high-temperature person and stop allowing them into the college premises. © 2022 IEEE.
ABSTRACT
With the recent Covid-19 pandemic put break, people are becoming more conscious on checking their SpO2 (Percentage of Oxygen in our blood) and heart rate levels. The pulse oximeter is a widely used clinical instrument for performing effortless testing via a non-intrusive method. The proposed system is a smart device that has been used to monitor the health vitals and monitoring these vitals can help us to track the SpO2 and heart rate. The proposed device comprises of simple components such as a MAX30100 pulse oximeter sensor and an ESP8266 Node MCU. This device can be connected to Blynk App to monitor the regularly updated data through the web by connecting to a Wi-Fi. In addition to this, the SpO2 percentage and heart rate can also be observed on the OLED Display. The proposed system can assist in detecting the health abnormalities like pneumonia, asthma, and many other respiratory diseases. © 2022 IEEE.
ABSTRACT
Coronavirus flare-up chances human existence and it challenges the general wellbeing. Hand cleanliness, an extremely basic activity, is very much acknowledged to be one of the essential methods of decreasing medical care-related disease and of improving patient security. These days wearing masks, utilizing hand sanitizers, checking temperatures are being done in all places, and so forth yet at the same time in many spots individuals utilize conventional sanitizer gadgets which build the spread of microorganisms. Normally an individual is in charge of observing the body temperature and sanitizer level by taking a chance with his life. This survey Internet of Things (IoT) based hand sanitizer dispenser with temperature and level monitoring distinguishes the presence of the people and gives out alerts in form of the human voice to sanitize their hands if the dispenser goes unrecognized. Furthermore, we have a contactless sanitizer dispenser to stay away from contact among humans and dispensers which will keep us away from the further spread of infection and microorganisms. © 2022 IEEE.
ABSTRACT
This study aimed to realize Sustainable Development Goals (SDGs), i.e., no poverty, zero hunger, and sustainable cities and communities through the implementation of an intelligent cattle-monitoring system to enhance dairy production. Livestock industries in developing countries lack the technology that can directly impact meat and dairy products, where human resources are a major factor. This study proposed a novel, cost-effective, smart dairy-monitoring system by implementing intelligent wireless sensor nodes, the Internet of Things (IoT), and a Node-Micro controller Unit (Node-MCU). The proposed system comprises three modules, including an intelligent environmental parameter regularization system, a cow collar (equipped with a temperature sensor, a GPS module to locate the animal, and a stethoscope to update the heart rate), and an automatic water-filling unit for drinking water. Furthermore, a novel IoT-based front end has been developed to take data from prescribed modules and maintain a separate database for further analysis. The presented Wireless Sensor Nodes (WSNs) can intelligently determine the case of any instability in environmental parameters. Moreover, the cow collar is designed to obtain precise values of the temperature, heart rate, and accurate location of the animal. Additionally, auto-notification to the concerned party is a valuable addition developed in the cow collar design. It employed a plug-and-play design to provide ease in implementation. Moreover, automation reduces human intervention, hence labor costs are decreased when a farm has hundreds of animals. The proposed system also increases the production of dairy and meat products by improving animal health via the regularization of the environment and automated food and watering. The current study represents a comprehensive comparative analysis of the proposed implementation with the existing systems that validate the novelty of this work. This implementation can be further stretched for other applications, i.e., smart monitoring of zoo animals and poultry.
ABSTRACT
Entire world is passing through the corona virus disease (COVID-19) outbreak badly. According to the WHO, corona virus affects respiratory system. This corona virus majorly spreads when someone comes in contact with an infected person and respiratory droplets that generates by coughing or sneezing play major role in spreading the infection. These respiratory droplets can spread infection when inhaled by someone or contaminate hands and surfaces in contact. During the treatment of such infectious disease, the safety of healthcare workers becomes the matter of primary concern as they are directly involved during the process of diagnosis as well as treatment and care of COVID‐19 patients;hence, they are always open to infection, and their chances of getting infected with SARS‐CoV‐2 virus become very high. A lot of challenges hospitals and staff are facing, and few of them need to be addressed technologically. In present work, in this paper, we have proposed a Bluetooth and IOT-based wireless healthcare monitoring system. The proposed system can be utilized to get real-time online physiological conditions of a patient. Doctors can monitor their COVID-19 patients remotely. A robotic trolley could be pressed into service (serve or fulfill the patient need) in hospital in order to remove direct connection and minimize the risk of spreading infection between healthcare workers who are directly involved in treating COVID-19 patients. This system continuously monitors the real-time temperature and pulse rate of the patient and send data remotely to the doctors. A medicine reminder system also reminds the patient about the medicine with date and time through voice system. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The current situation of pandemic demands utmost care of health for every individual, rapid spread of SARS-CoV-2 needs regular temperature check-ups as one of the means of identifying the disease. The design of a low cost and efficient system to automate the human temperature sensing using IoT is presented in this paper. This system can be used in most of the places where temperature check ups are to be done and still using the manual check-up tools hence easing the way of checking the temperature. The system mainly consists of two subsystems. One subsystem that determines the temperature value (TS) and the other that triggers the temperature sensor (PS). The PS uses a proximity sensor that senses whether the person is near the temperature sensor and triggers the TS to sense the temperature of individual standing in front of it. The system can be mounted on any simple mirror that enables the individuals to align their head correctly with the temperature sensor and hence it can be used anywhere. To govern the behavior of the sensors we use a microcontroller (Node MCU). In this proposed method we are developing a cost-effective solution to detect the temperature of the individual without human resources installed in the place. The system can be used in various places such as Schools and colleges, public places, hospitals and many more. © 2021 IEEE.
ABSTRACT
It is the service sector for any nation that offers the government the maximum income. This service industry comprises a broader range of services and every individual in the nation will be affected by any bad impacts on this sector. The covid pandemic has become a threat to good health and has created fear due to the spread of the virus and a serious impact on the economy and the livelihood of people in the country. Logistics and delivery are some of the areas badly affected by covid. Because this virus is a contagious disease and very quickly spreads to neighbours. The reduction of human interference in the delivery of goods was very important. This paper presents a delivery robot that can safely and securely deliver the goodseven for the virus affected persons since this robot is a virus free agent. The key features are face recognition, obstacle detection, live streaming, GPS tracking and we achieve these features using Raspberry Pi and Node MCU. The prototype we create is for small organizations such as colleges and hospitals where objects must be transported safely and securely. This robot can also be used to safely provide patients with medicines and food. This can be extended to a greater area and can be used to replace the normal human resources delivery system. © 2021 IEEE.
ABSTRACT
Healthcare is a human right that must be accessible to all disregarding the social or economic conditions of any human being. The burden on healthcare system has increased immensely in the last few months. The COVID19 pandemic has brought to the fore gaps in the healthcare system world over. The doctors and front-line workers are directly getting exposed to the virus and patients that might need other healthcare services are vulnerable to the exposure. These problems would be catered by the proposed device as it would be operated by the patients and the real time data can be collected by the doctors to assess the vital body parameters through cloud without being physically present in the same environment. The parameters that can be monitored are body temperature, pulse rate, and oxygen saturation level. Hence, the proposed device includes sensors for measuring the body temperature (i.e. LM35) and pulse and oxygen level (i.e. MAX30100). The experimental setup has been built using Android based Blynk Cloud Platform where data is collected from remote places and stored the cloud. It is further available for assessment by the healthcare professionals. © 2021 IEEE.
ABSTRACT
The Covid-19 pandemic has proven to be the most disastrous pandemic in the history. Millions of people have lost their lives sending nations into lockdown and economic slowdowns. Given the fact that no specific anti-viral treatment is yet suggested for treating Covid-19 infection, 'Social distancing' is probably the most effective tool so far in stopping the virus spread. This paper has proposed an IoT based doorbell which alerts the house owner about arrival of a visitor having fever and who could be a Covid-19 patient. The system uses NodeMCU and MLX90614 non-contact infrared temperature sensor. FireBase online database is used to log all the readings of the system and a companion mobile App is also provided. The system was extensively tested using an experimental set up under various conditions. The system works with 99% average accuracy of body temperature measurement. © 2021 IEEE.