ABSTRACT
As the world faces a COVID epidemic, one of the most critical rules to observe is social separation. There are some situations where social separation is difficult to maintain, such as canteens. The proposed technology equips a college canteen with an autonomous food serving robot, allowing us to preserve social distance. People in canteens confront challenges such as long lines and food service delays. When it comes to college canteens, students only have a limited amount of time for refreshment, resulting in a rush at the canteen. Our self-serving food robot will serve the food to the clients without fail;all they have to do is order meals using the mobile app. The system relies on a mobile application to place orders and a robot to deliver the food. Users will be able to summon the robot using the help button in the mobile app, which will result in canteen trash management. For routing and finding the best way to the table, we employ a combination of sensors and Radio Frequency Identifier (RFID) technology. Our solution will benefit the admin in addition to keeping the customers happy. Making a robot will be less expensive than hiring a human waiter. The system not only has a rechargeable wallet payment interface, but also net banking, card payment, and UPI payment possibilities. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic has presented social challenges to establish the new normal lifestyle in our daily lives. The goal of this paper is to enable easy and low-cost monitoring of cleaning activity to keep a clean environment for preventing infection. Although human activity recognition has been a hot research topic in pervasive computing, existing schemes have not been optimized for monitoring cleaning activities. To address this issue, this paper provides an initial concept and preliminary experimental results of cleaning activity recognition using accelerometer data and RFID tags. In the proposed scheme, machine learning technologies and short range wireless communication are employed for recognizing the time and place of wiping as an example of cleaning activities, because it is an important activity for shared places to avoid infection. This paper reports the evaluation results on the recognition accuracy using the proof-of-concept (PoC) implementation to clarify the required sampling rate and time-window size for further experiments. Also, a real-time feedback system is implemented to provide the monitoring results for users. The proposed scheme contributes for efficient monitoring of cleaning activities for creating the new normal era. © 2022 IEEE.
ABSTRACT
In this work, we present a UHF-RFID-based noninvasive sensor to measure the concentration of ethanol in water using the volume fraction of liquids in mixture solutions. The sensing system operates at the UHF band (860-928 MHz). The concentration of ethanol in water affects the dielectric properties of the solution and therefore the antenna sensitivity of the RFID tag. This sensor operates by measuring the change in permittivity of a solution because of the change in concentration of ethanol in water. We propose a flexible RFID-Tag sensor a low-cost alternative to identify the possible sensitivity of tag changes and is able to detect a variation of 25% in ethanol in 9 ml of deionized water (DI-Water). The solution is useful in avoiding counterfeit ethanol solutions that may be toxic. The experimental setup is inexpensive, portable, quick, and contactless. We present results for ethanol solutions ranging from 25% to 100% in a small tube container. © 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
The COVID-19 pandemic has alarmed the world nations to impose strict curfews and emergencies to prevent the social transmission of the disease. In order to achieve this, effective Tracing and Tracking of the suspected COVID-19 cases need to be achieved. In view of the enormous number of cases being recorded each day, this process couldn't be performed effectively with simple manual tracing. Hence, we have proposed an Internet of Things (IoT) based automated Tracing and Tracking method for identification of the possible contacts with deployment of cost-effective RFID Tags and the mobile of the individuals which act as a reader. Thereby, tracing of persons who have crossed the subject would be possible even without the knowledge of the suspected cases. This would enable cent percent quarantine of possible primary and secondary contacts and monitoring of the same by the administrative agencies. This would augment the nations' capability of managing the pandemic.