ABSTRACT
Health monitoring systems are rapidly growing in recent times, Continuous monitoring of the patients is one of the big challenges for hospitals. Smart systems have been established to track the patient present health status;we focus on monitoring the patient's blood pressure, body temperature, Heart rate. In this project we use Arduino Mega 2560 which is a microcontroller board based on the ATmega2560 comments. In this paper, Embedded C language by using Arduino is used to obtain the sensor values. IOT data cloud is used in this project. IOT is used in healthcare system to track the patients' health condition as a monitoring device. Cloud computing develops as a platform for IoT data storage, processing and analytics because of its simplicity, expandability and affordability. Transmit sensor values to Arduino and it sends to GSM and WIFI module to monitor the parameters of the patients. In this project the notifications of patient's health status are sent to the caretaker and nurse, simultaneously it is updated in webpages also for the doctor's reference. Taking in account, COVID 19 Pandemic is highly infectious and spreadable disease, so to maintain the social distance, this monitoring system is needed. It reduces the need for face-to-face appointments with doctors in hospital. ECG sensor is also used to decide the heart activity of the patients. This project aims for the patients who are in continuous monitoring and bedridden. The GSM and IOT technologies give the architecture for healthcare in this project. © 2023 Author(s).
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
Previously, there were physically operated hand dispensers that needed to be contacted every time we needed to apply the sanitizer. Due to the outbreak of the COVID-19, the importance of alcohol-based sanitizers has come up. As there are chances of spreading the viruses through contact surfaces, foot-operated dispensers have been developed to avoid contact between hands and hand dispensers. For the virus-infected people, their body temperatures may be high. Therefore, many organizations have been using infrared guns to record their body temperatures before they start working. To record their temperature, a manual presence is required. To replace these manual operations, an automated hand dispenser can be used. An IoT-based automated machine is designed to sanitize the hands with alcohol-based liquid without any contact with the prefilled sanitizer bottle. In connection to that, a temperature sensor is also employed within the dispenser machine to indicate the temperature of the person before they want to sanitize their hands. During the COVID-19 pandemic, most organizations were allowing their clients to work only after checking their body temperature and sanitizing themselves physically. Therefore, to avoid physical contact between the dispenser and people, a device that provides contactless operation has been developed, and further, it does not require any manual presence. While this device uses an ultrasonic sensor along with a temperature sensor to identify the existence of a hand and note the temperature of that hand, a microcontroller is also employed to control the operations. Subsequently, an LCD display is used to indicate the recorded temperature and to pump the alcohol-based sanitizer. A submersible DC motor pump is used, which is operated using a relay from the microcontroller (Granted Patent Ref.: AU 2020102940). © 2023 Elsevier Ltd. All rights reserved.
ABSTRACT
The Covid-19 pandemic that hit us in 2020 changed our lifestyle in every way. There was tremendous damage to people's lives. It is now predicted that other variants of Coronavirus are affecting people's health throughout the world. We must remain vigilant against upcoming dangers. The Indian health ministry has also advised people to take the necessary precautions. In this paper, we will focus on automating temperature and oxygen monitoring using the Internet of Things. According to our proposed model, data generated by the temperature sensor (MLX90614) and oxygen saturation sensor (MAX30102) will be stored in a relational database. Using this data, future data analyses can be conducted. We are also going to visualize the data by building an interactive dashboard using Power BI. Overall, health monitoring will become much more convenient and speedier. © 2023 IEEE.
ABSTRACT
The system proposed can be used to regular checkup of the COVID patients while maintaining the social distancing. Also, the data sensed by the sensors is directly sent to doctor, reducing the cost of paying regular visits to doctor. The Iot platform used in the system helps to transfer the real time patient's data remotely to host device. Daily health record can be maintained and can be viewed easily on graphs charts ease for doctors to see any abrupt changes in oxygen level or rise in temperature. To track the patient health micro-controller is in turn interfaced to an LCD display and wi-fi connection to send the data to the web-server (wireless sensing node). In case of any abrupt changes in patient heart-rate or body temperature alert is sent about the patient using IoT. This system also shows patients temperature and heartbeat tracked live data with timestamps over the Internetwork.
ABSTRACT
In this pandemic period, social distancing is essential to avoid the spreading of the Covid-19 disease. Also, vaccination is one of the critical aspects. According to that, there is aninnovate idea of a project which fulfills all the above aspects such as Social Distancing, Physical touch, Vaccination details, and also Temperature detection. During this Covid-19, people were suffered a lot, so on a social and noble cause, it's our responsibility to think and develop products that will help us to prevent this disease as much as possible, which is going to be our primary goal and also by using advanced technologies like face recognition and temperature measuring device, so there is need to make our model much more efficient and trustworthy. In today's era, security has played a pivotal role in many of our places, like offices, institutions, libraries, laboratories, etc., to keep our data confidential so that no other unauthorized person could access them. This project presents a face-recognition-based door opening system that provides security and can be used for many banks, institutes, organizations, etc. For verifying the authentification, there are various methods like passwords and RFID, but this method is the most efficient and reliable. Temperature is sensed by the sensor and is validated for security purposes. If the temperature matches, then a camera is open, and after face-Recognition, the door will be get opened automatically.
ABSTRACT
Ventilators we are available with have several drawbacks such as difficult to port, expensive and meant to be operated by professionals which create hardness in fighting with medical care. Thus, it creates suffering for people in the pandemic like COVID19. So, it is required to develop a ventilator that can be affordable, easy to port and install. We aimed to design a IoT based ventilator system using various electronic devices such as microcontroller and sensors that could monitor patient's body status. People suffering from COVID19 or any lung disease find difficulty in breathing so in such condition of emergency this smart ventilator system can be used. Ambu bag is used to provide certain volume of air that is pressed by using motor mechanism. A portable low-cost ventilator with computerized controlling and feedback system is installed. Ventilator designed can be connected to an interface for smart functioning. This paper provides us with different methods to monitor the patient's health condition by measurement of pressure, level of breathing to know whether the condition is healthy or unhealthy. The designing and developing of low-cost portable ventilator deliver breaths to patients when Ambu bag is compressed by using a piston connected to servo motor whose speed can be varied. Input of the designed system is patient's heart beat and breathing rate and the volume of oxygen provided to patient's lung with required beathing rate is the output of the system. PID (proportional Integral Derivative) and Full state feedback H2 controllers are used for the performance analysis of the system. Result of this review paper is found that a low-cost ventilator is developed removing all the possible shortcomings of existing conventional ventilator. Ventilator designed is portable and smart by using Arduino, servo motor and ambu bag preferred for emergency uses and available for clinical application. © 2023 IEEE.
ABSTRACT
The entire world witnessed the covid-19pandemicinthe year 2020. The actual outbreak of this corona virus was first reported in Wuhan, China and later declared to be epidemic by (WHO) World Health Organization. The whole world was under tremendous pressure in monitoring health, managing, and maintaining hospitals and inventing new drugs. Initially, India was very much worried because of the huge population. The pandemic posed a critical challenge for healthcare sectors, since doctors and nursing professionals were among the most severely affected and it's clear that India must adopt new measures to increase healthcare proportional ratio and adoption of new technologies to manage large population groups. Robotics is one area which may largely always support the segment. The proposed research project emphasized on developing robotic devices with robotic vision, sensors-based motion planning, dynamic obstacle detection, and autonomous navigation in a hospital environment and supported the medical and nursing teams in reducing their workload and improving patient health monitoring, also the research explored multi-robot exploration and integration. © 2022 IEEE.
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
The covid-19 epidemic is causing a world pandemic crisis. The powerful device in these situations is to wear a mask in public entry, schools, and super markets to reduce the Covid-19 spread. There are many convolutions face recognition technologies to distinguish effective images for monitoring the discovery of a face mask. Therefore, it is very important to improve the effectiveness of the acquisition methods available in the existing system. The data set value increases in the proposed input to improve the maximum accuracy. The proposed method is used to determine body temperature, face mask, and social retention using advanced machine learning methods. Using the EM8RFID scanner personal data such as temperature value, face mask identification and public distance detection are collected. It is used to indicate the state of human health in a cloud platform. A wireless heat sensor issued to determine a person's body temperature using MLX90614 without anyone. The Raspberry integrated with the pi camera is used in detecting a face mask and a social distance. Raspberrypi captures the image and detects with the convolution neural network algorithm verifying a person is wearing a face mask, following social distance. Therefore, authorities should monitor the human condition in the cloud platform area. By applying this concept, the spread of Covid-19 can be greatly reduced and it is easier to identify peoplewith Covid-19symptoms. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic has affected a variety of aspects of our everyday life. Most activities like entertainment, healthcare, education and businesses have been reshaped due to the safety guidelines. Proper monitoring in indoor areas is essential to limit the spread of COVID-19. This paper presents a low-cost prototype system that addresses the indoor safety issue by combining a mask detector and temperature measurement system with a smart wearable band which alerts people to maintain social distance in close vicinity. The focus is on ensuring safe distance, wearing a mask, and no entry for people with high temperatures. Firstly, the mask and temperature system has an Arduino NANO that works as the primary device. The Arduino is connected with an ESP32-Cam that sends the image to a client where we have trained and developed a machine learning model using thousands of masked and unmasked pictures. Following, the model uses an image classification algorithm with the tensorflow.js model and gives us the result with an accuracy percentage. Secondly, the temperature is measured with the help of an MLX90614 non-contact sensor. The temperature of a person is also shown on the monitor at of. Finally, a wearable device is presented with a NodeMCU 8266 Wi-Fi module. It uses Received Signal Strength Indicator (RSSI) value to detect another similar device and alerts through a vibrator and buzzer if the social distance rules are violated. We evaluated the system in real-life scenarios, and the mask detection system gives an average accuracy of 98.7%. We have presented an in-depth analysis of the Mask Detection System, showing different mask types, the accuracy of the machine learning algorithm, temperature measurements and results. Similarly, the distance measurement system is presented with several factors. © 2022 IEEE.
ABSTRACT
Over the past two years, COVID-19 has spread over 200 countries, leading to pandemic proportions. Still, the virus is rapidly changing, the variants spreading through direct and indirect contact in places irrespective of the vaccine distribution. Many infectious diseases spread through droplets, and micro-droplets require face masks and other social distancing measures. This article proposed for pandemic circumstances called real-time face mask with health screening (RTFMHS) with two screening methods: (i) Internet of Things (IoT) node monitors a real-time intelligent face mask detection using multi-level high-speed augmented convolution neural network (MLHS-CNN), (ii) Individuals health indicators such as non-contact body temper-ature sensor and blood oxygen saturation are sending to fog cloud to manipulate and display the user health status. A face mask detection technique based on MLHS-CNN is proposed to determine whether a person is wearing a mask properly. User health is computed in real-time by an RNN running on the fog server to estimate the risk of infection spreading. The proposed method uses a lightweight IoT node and fog-based Deep Learning (DL) tools for data analysis and diagnosis. The experimental results outperformed previous research in terms of detection accuracy, precision, recall, and time complexity. © 2022 IEEE.
ABSTRACT
With the onset of the Covid-19 pandemic, the health of people has become more of a concern. With this, temperature measurement has gained even more significance. Non-contact thermometers give the advantage of being used in extreme infectious environments, lightweight, repeatability, and many more. Thermal screening helps in identifying people with a high body temperature who are potentially at risk. This research work focuses on the non-contact human body temperature measurement with the assistance of a robotic arm. The robotic arm is used to dispense the power of mobility to the system. The robotic arm, interfaced with Raspberry PI, is used to dispense the power of mobility to the system. Non-contact infrared temperature sensor, MLX90614, is interfaced with Arduino Nano and is used to measure human body temperature. The temperature obtained from the thermal gun is fed to the serial monitor app in the mobile that is connected through the USB cable to Arduino Nano. The temperature sensor's data is displayed on a mobile phone in Celsius unit. The format in which the sensor data is displayed is programmed using Arduino IDE. © 2022 IEEE
ABSTRACT
Amid and post-COVID-19 pandemic, the matter of being in touch with patients to monitor their health matrices became somewhat challenging, especially in the rural areas of countries like Bangladesh and for elderlies. To address this issue, a patient health monitoring system is developed using a Programmable Intelligent Computer (PIC) microcontroller and Global System for Mobile Communications (GSM) protocol with the help of a pulse sensor, IR sensor, photodiodes, temperature sensor, etc., to measure 3 (three) crucial health matrices such as heartbeat/pulse, oxygen saturation level, and body temperature from a fingertip of the patient in 20 s remotely. Whenever the system measures the health matrices, it sends a short message service (SMS) report to a personal caretaker over GSM automatically. If the system finds any anomaly based on predefined threshold levels for each health parameter, it sends a SMS alert report to the designated doctor automatically as well. A prototype of the developed system is made, verified, and tested to be working perfectly as designed and programmed. In the experiment with the developed system, heart rate ranged from 61 to 105 bmp, body temperature ranged from 95.3 to 99.1 ℉, and oxygen saturation was minimum at 97%. According to the set threshold levels, which led to an automatic SMS alert to the caretaker's mobile phone. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The mobile health check device is an IoT based system that has been designed to play a vital role in checking people's health status. It has become very crucial to monitor people's health especially now with this COVID-19 pandemic. Through this device it will be possible for people to check for blood oxygen levels, temperature, blood pressure and heart beat rate without the use of sphygmomanometers at health care centres. Furthermore, the device is not only limited to COVID-19 symptoms detection, but it can also be used for monitoring pneumonia, asthma and other common critical conditions related to the stated parameters. The results of the device are displayed on an LCD screen and also sent to the cloud servers for storage and record keeping. The mobile device proofs to be a quick health screening device for different organisations and at different public places such as at airports, borders, shopping malls, industries, religious centres and educational institutions. © 2022 IEEE.
ABSTRACT
The mobile health check device is an IoT based system that has been designed to play a vital role in checking people's health status. It has become very crucial to monitor people's health especially now with this COVID-19 pandemic. Through this device it will be possible for people to check for blood oxygen levels, temperature, blood pressure and heart beat rate without the use of sphygmomanometers at health care centres. Furthermore, the device is not only limited to COVID-19 symptoms detection, but it can also be used for monitoring pneumonia, asthma and other common critical conditions related to the stated parameters. The results of the device are displayed on an LCD screen and also sent to the cloud servers for storage and record keeping. The mobile device proofs to be a quick health screening device for different organisations and at different public places such as at airports, borders, shopping malls, industries, religious centres and educational institutions. © 2022 IEEE.
ABSTRACT
During the current COVID-19 epidemic, everyone needs to take measures, which include wearing a mask, keeping their distance, washing their hands, and avoiding touching anything unless it is absolutely necessary. They typically have a key housing and a key saddle to open ordinary doors. The body temperature sensor-equipped automatic door control system is a prototype designed to stop the spread of COVID-19, which is disseminated through droplets attached to traditional doorknobs, by minimising direct physical contact. In this paper, a temperature controlled door access system using Lab view and arduino is is proposed. LM35 connected to arduino is used for sensing the temperature. The software simulation of the system is done in Lab view, which is then interfaced with Arduino Uno. Further, the system consist of a relay and an LED to indicate whether the door access is granted or not. If a person's body temperature is detected as a value within the normal body temperature range, then LED light appears and relay is activated. This results in opening of the door lock attached with the relay. If a person's body temperature is sensed as a value greater than the normal body temperature range, then LED remains OFF. The system is designed to be placed outside institutions and malls where a person is allowed inside only if his/her body temperature is normal. © 2022 IEEE.
ABSTRACT
The fourth industrial revolution mostly revolves around new techniques and concepts such as artificial intelligence (AI), machine learning (ML), internet of things (IoT), etc. The recent spurt of corona virus has wreaked havoc across the globe and led to huge loss of human lives. An intelligent system with innovative technologies can be implemented to address the rapid spread of the deadly virus. In this paper, we present our patented [1] idea of Smart Face Shield (SMAFS) that can not only help to maintain appropriate social distancing in a crowded place but also to identify a person with preliminary symptoms of corona virus.SMAFS is designed as a technically improved face shield to maintain social distancing by appropriate use of proximity sensor and to measure temperature of the wearer by using contact temperature sensor. LED's and buzzer are placed strategically to alert people via visual and audio signals respectively. Such precautionary detection and proximity alert prototype can prove instrumental in early diagnosis and isolation aiding in crowd management and free movement in places of social gathering. © 2022 IEEE.
ABSTRACT
COVID-19 is an ongoing global pandemic and is continuing to be a fast-spreading virus all over the world. It transmits when people breathe in air contaminated by droplets and small airborne particles containing the virus. The risk becomes highest when people are nearby, but they can be over longer distances, while indoors. It is necessary to isolate such infected persons in public places with large gatherings. In addition to screening them, individual protection measures can also be taken.Two primary requirements that fulfil the entry to the public are by scanning of temperature to prevent person suspected and also to ensure one has masked face properly to permit entry. At the moment, all places use this system. But they are manual and depend on the person inspecting temperature and mask. There are few automated processes, but they do not have automatic entry control. Thus, there are risks of false entry of people inside the public place.In this paper, an integrated approach in mask detection and temperature scanning, indicated visually by LED and LCD Display, and further control entry with the operation of boom barrier has been presented. The information is also recorded to identify each entry. Open CV is used to detect masks and obtain better accuracy. An infrared temperature sensor and a proper guide to scan the temperature are used. Each step of the process is implemented on one Raspberry PI-based board. The system is suitably packaged and demonstrated. © 2022 IEEE.