ABSTRACT
The article introduces a novel strategy for efficiently mitigating COVID-19 distribution at the local level due to contact with any surfaces. Our project aims to be a critical safety shield for the general people in the fight against the epidemic. An ultrasonic sensor is integrated with the automated doorbell system to ring the doorbell with a hand motion. A temperature sensor Mlx90614 is also included in the system, which records the temperature of the person standing in front of the door. The device also includes a camera module that captures the image of the person standing at the front entrance. The captured image is processed through an ML model which runs at over 30 fps to detect whether or not the person is wearing a mask. The image and the temperature of the person standing outside are sent to the owner through the configured iOS application. If the person outside is wearing a mask, one can open the door through the app itself and permit the entry of the person standing outside thereby integrating the edge device with an app for a better user experience. The system helps in reducing physical contact, and the results obtained are at par with the already existing solutions and provide a few advantages over them. © 2023 the author(s), published by De Gruyter.
ABSTRACT
In recent years, due to the rise in the number of novel coronaviruses across the globe nations step forward to stop the crisis. With guidelines of the WHO many methodologies came into existence to prevent the spreading of coronavirus. My SD: A Smart Social distance and Monitoring System takes advantage of the features of the smartphone's hardware which usually has Bluetooth transmitter-receiver, like GPS to determine the safe distance and required level of compliance. Through artificial intelligence, this new smart device helps maintain uniform social distance and detect COVID 19 patients. In these COVID 19 environments, everyone knows how safe they are. In this paper, we have automated the process whereby the layman can control himself without any priming which makes the system more user-friendly for the public. The user himself or herself can monitor body temperature, social distancing and get an alert in abnormal selfisolation conditions using contactless thermometer, ultrasonic sensors, and GSM modules. © 2022 IEEE.
ABSTRACT
We are proposing an IoT-based social distancing device as a preventive measure to COVID-19. It uses NodeMCU in conjunction with ultrasonic sensor temperature sensor, while vibrator buzzer is used for an alarming mechanism. The ultrasonic sensor is used to obtain higher accuracy as it uses LOS principle to measure the distance. The alarm will be raised whenever measured distance is found to be less than six feet. Temperature sensor is used to alert the user to isolate them if their body temperature goes above 102 °F, thereby decreasing the transmission possibility of virus in case he is infected with the virus. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
One of the most pressing challenges facing restaurants since the COVID-19 outbreak began is personnel. A staffing scarcity across the business has resulted in a slew of issues, including significantly longer wait times and irritated clients. A robot waiter may make a huge impact in a restaurant in this situation. This research led to the formation of a low-cost Arduino-based Android application control Robot that can work as a restaurant waiter. The proposed model can follow a path, avoid obstacles, serve meals to a specific consumer, and return to the kitchen on its own. To precisely follow the line, the PID algorithm is utilized. To detect potential obstructions, a sonar sensor is used. On an LCD, messages and warnings are displayed. An Android app that allows the chief to select a particular table for serving meals. For convenience, the robot's current state is displayed in the application. Our testing results show that the robot performs satisfactorily over 90% of the time. It should be emphasized that the offered model is adaptable to any restaurant. © 2022 IEEE.
ABSTRACT
The emergence and occurrence of COVID-19 pandemic has affected the lives of many people around the world, implementing different protocols to further prevent the spread of this deadly virus. Overcrowding is one of the common reasons for the spread of any virus or diseases. The researchers aim to create a system that monitors crowd density inside a building or infrastructure to avoid overcrowding. This system primarily utilizes ultrasonic sensors to detect entry and exit of an individual. The feedback will be sent to the user and the data will be used to effectively monitor the number of people inside the building. © 2022 ACM.
ABSTRACT
People all around the country have taken precautions to be safe since the COVID-19 outbreak began. It's critical to maintain such precautions until the virus is under control and vaccine is available to protect everyone from contracting it. Taking safety precautions is not always simple and consistent. They are, however, critically vital. This study aims to design and construct a device that will monitor the safe distance and body temperature of the user. The device does not require wi-fi and simply requires a small amount of infrastructure to charge (USB 5v). It utilizes basic technology and may be assembled with commonly available, low-cost components. The device mainly uses the NRF24L01 RF module, ultrasonic sensor and MLX90614 thermometer sensor for the monitoring system. It is also composed of other electronic components like switch, LCD display and power source. The device will prevent the virus from infecting you, your family, and your friends. Results have shown that this device is applicable for distance and temperature monitoring of a person as an aid to prevent the spread of the virus. © 2022 IEEE.
ABSTRACT
The emergence of COVID-19 pandemic led to an increase in establishing methods of sterilization and prevention, and also in the searching for sterilization methods at the lowest cost and most effective in eliminating viruses. Robots are widely used in many fields including the sterilization to reduce the risk to human life. This work presents a design and implementation of robot for automatic surface disinfecting using Ultraviolet (UV) lights. Arduino UNO R3 is used as micro controller to control the movement of the mobile robot and three ultrasonic sensor which used to avoid robot collision with obstacles. UV lights are used in the sterilization processes of surfaces, air and water, as it ruptures the DNA of bacteria or viruses and thus prevents it from reproduce. Eight UV lights are used in this research work which are fixed around the mobile robot. The results showed the low cost with robot using for surface disinfecting can be obtained with using simple sensors and actuators components and UV lights, as well as being safer for humans than using chemical disinfectants. © 2022 IEEE.
ABSTRACT
The core idea available is IoT, which can be integrated into a traditional communication network to solve many problems. This paper deals with the development of a Social Distance Detector for safety purpose in this COVID-19 pandemic. To keep us safe from maintaining a social distance from people. A detector system is developed to make an alarm while the social distancing is not maintained properly. The detector system is developed by using Tinker cad IoT Simulation software. It is a Circuit design Arduino Simulator created by Soft logic to simulate and assemble. The sensors and tools make the circuit working by embedding Arduino-UNO-R3, ultrasonic sensor, breadboard and Piezo Buzzer. © 2022 IEEE.
ABSTRACT
The tele-presence robot is designed to set forth an economic solution to facilitate day-to-day normal activities in almost every field. There are several solutions to design tele-presence robots, e.g., Skype and team viewer, but it is pretty inappropriate to use Skype and extra hardware. Therefore, in this article, we have presented a robust implementation of the tele-presence robot. Our proposed omnidirectional tele-presence robot consists of (i) Tricon ultrasonic sensors, (ii) Kalman filter implementation and control, and (iii) integration of our developed WebRTC-based application with the omnidirectional tele-presence robot for video transmission. We present a new algorithm to encounter the sensor noise with the least number of sensors for the estimation of Kalman filter. We have simulated the complete model of robot in Simulink and Matlab for the tough paths and critical hurdles. The robot successfully prevents the collision and reaches the destination. The mean errors for the estimation of position and velocity are 5.77% and 2.04%. To achieve efficient and reliable video transmission, the quality factors such as resolution, encoding, average delay and throughput are resolved using the WebRTC along with the integration of the communication protocols. To protect the data transmission, we have implemented the SSL protocol and installed it on the server. We tested three different cases of video resolutions (i.e., 320×280, 820×460 and 900×590) for the performance evaluation of the video transmission. For the highest resolution, our TPR takes 3.5 ms for the encoding, and the average delay is 2.70 ms with 900 × 590 pixels.
ABSTRACT
High temperature can be a symptom of various critical and semi-critical diseases. In the present COVID-19 pandemic, the demand for non contact based body temperature measurement devices are quite high. However, such devices are not only costlier than their contact based counterparts, but also their accuracy greatly depends on the distance and the location of the subject from the sensor (usually within 2–4 cm). To increase the accuracy of the measurement, researchers usually couple an ultrasonic sensor that can measure the distance of the object and instruct the sensor to take the reading only when the object is within the acceptable distance. However, the measurement of distance by the ultrasonic sensor depends on various aspects such as the impurities (such as sweat), location of the measurement area (forehead, hand etc.)and the initial distance. To overcome these limitations, the present work designed a low cost working prototype based on Arduino together with MLX90614ESF infrared temperature sensor and HC-SR04 ultrasonic sensor with an automatic distance correction mechanism for improved accuracy in temperature measurement. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The research paper proposes a cheap implementation of social distancing measures that could be developed through cheap IOT sensors and existing pathogen blocking devices such as plastic face shields to combat the spread of COVID-19. The prototype system is fitted into the hard-plastic face shield with IoT sensors such as ultrasonic sensors, buzzer, and a battery controlled through an Arduino to be able to alert the surroundings of the area through the connected buzzer which activates if the user's interactions with others are detected to be too physically close and not in observance with the one-meter safety distance protocol appropriate for COVID-19 practice of social distancing. © 2021 ACM.
ABSTRACT
Temperature is estimated by detecting the infrared radiation emitted by all materials above absolute zero (0°Kelvin) in an infrared temperature test. IR energy is converted to an electrical signal that may be displayed as a temperature reading after being made up for the surrounding temperature range by using a focal point to focus the IR energy on a finder. With this set-up, you can estimate something's temperature from a distance, without having to go close to the thing you're trying to measure. Because thermocouples or other test type sensors cannot be used or do not provide precise information for a variety of reasons, the infrared temperature sensor is useful for estimating temperature. One of the most essential things to do to avoid COVID is to practise social distancing. This device may be used to maintain a gap of at least 6 feet between devices by measuring distance using ultra-wideband (UWB) technology. There are two nodes in an ultrasonic sensor: a transmitter and a receiver. When the transmitter fires, an ultrasonic wave is thrown out, and this wave hits everything in its path before returning to the transmitter. Using the time it takes for the wave to return to the sensor after being bounced, the sensor determines the obstacle's distance from that sensor. In most cases, ultrasonic sensors are used to detect obstacles in the way and to determine how far away they are from the sensor. © 2021 IEEE.
ABSTRACT
India has perceived an enormous upsurge in garbage during 21st century due to adopting urbanization rapidly. In addition, as the population increasing drastically, which inherently produce huge amount of garbage. The overflow of the garbage and lack of maintenance are the main reasons for many diseases and also for spoiling earth environment. However, the entire world has faced the problems due to spreading of Covid-19 through the air due to the hazard waste is being generated in specific Covid hospitals, quarantine zones are directly dumped into the dustbins. The frontline warriors (doctor, nurse, police) working in these unorganized dustbin environments are getting infected with Covid-19 and are became a primary contact for spreading of virus. Thus, it is very much essential to implement a systematized and well-designed mechanism to overcome this problem. In this work, a hardware prototype for smart dustbin based on Arduino has been proposed that can be installed in hospitals, medical centres, municipalities, households for the sake of environment as well as front-line workers. The proposed model of smart dustbin has PIR sensor and ultrasonic sensor for human motion detection and sense the level of garbage present in the bin respectively. An alert system based on GSM has been interfaced with Arduino which sends the alert messages based on level of the garbage at regular intervals. The proposed model work with very low power and increase the security for front-line workers from the Covid-19. © 2021 IEEE.