ABSTRACT
We present a low-cost Remote Laboratory platform developed to support the practices of the Vehicle Electronics course during the COVID-19 pandemic. The platform, which emerged as an emergency solution, has become a significant teaching resource. Although the platform was designed primarily for microcontroller (or FPGA) based practices, it could be extended to Analogue Electronics practices. From a hardware perspective, low-cost devices such as a Raspberry Pi, a camera or a old PC box have been used, while the software interface has been developed using Node-RED. © 2022 IEEE.
ABSTRACT
This paper proposes a smart system for detecting the number of people in the classroom and their distribution over the available seats. The system is based on Arduino nodes used as the Internet of Things (IoT) modules and Raspberry PI as the central unit for data collection, evaluation, and storage. The system's primary purpose is to evaluate the number of people in the classroom because of the COVID-19 restrictions and automatically check the distance between sitting people. During the system design, we put personal privacy in the first place, and therefore we do not use any cameras. © 2022 IEEE.
ABSTRACT
The panic buying during Covid-19 caused farmers to amped-up production. However, farm equipment is costly to purchase. Therefore, some farmers utilized Additive Manufacturing (AM) to manufacture farming tools at low cost. However, the lack of in-situ monitoring in AM to stop printing failed parts can waste materials and time. Thus, this research aims to deploy a low-cost smart remote monitoring system using OctoPrint and Node-red to integrate a 3D printer and Teachable Machine and train a model to pre-emptively detect print errors. The result was satisfactory as the 3D printer stopped when the camera detected a defect with 75% accuracy. Furthermore, the user can easily customize the model to enhance the system versatility via the developed code-free platform. © 2021 IEEE.
ABSTRACT
Patients' remote monitoring becomes even more crucial due to the spreading of the COVID-19 disease. Hospitals cannot accommodate all the patients who need to be taken care. Hence, tele-medicine or, as also named, tele-health, remains the only means available to keep the situation under control. In particular, it is important to monitor the patients who are subject to the home quarantine period. The reason is twofold: (i) their live status and symptoms must be controlled; (ii) they must not leave the permitted area during the quarantine period. To this end, the paper defines a set of rules and processes based on the Internet of Things (IoT) paradigm, which enable the integration of different devices, in order to monitor the required parameters related to the patient and notify life-threatening situations to the connected health-care structure. The conceived IoT network is developed by means of Node-RED, which is a flow-based programming tool targeted to the IoT. Particular attention is also paid to security and privacy requirements, since sensitive data related to the patients must be kept safe. The proposed solution is preliminary assessed by means of a test-bed.