ABSTRACT
In managing the COVID-19 pandemic, the Malaysian government enforced mandatory body temperature screening as a rudimentary form of infection detection at the entry points of establishments and public transportation. However, previous iterations of IoT body temperature screening systems were bulky, fragile, expensive, and designed for personal use instead of the screening of many people. Therefore, a standalone, portable, and rugged IoT-enabled body temperature screening system for detecting elevated temperatures was developed in this research work. This system uses a proximity sensor to detect subjects and determine their body temperature using a non-contact temperature sensor. Body temperature data is displayed on the device and uploaded over a Wi-Fi network to a cloud server for data storage and analysis. From the cloud server, body temperature information is retrieved and displayed on the Blynk IoT client dashboard for remote monitoring. The device also provides alerts for body temperatures above 37.5◦C. The prototype system performed impressively during the assessment. Body temperature readings were impressively accurate compared to a medical-grade non-contact thermometer, with an average variance of less than 1%. Additionally, the system was highly reliable, with a 100% IoT data broadcast success rate. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
ABSTRACT
The adoption of Robotics in TV & Film is not on par with other industries. In this work, we investigate the possible causes. If we think of TV robots (robotic cameras, dollys) as social robots, their level of adoption in the industry would depend on how Social they are, which we can improve through positive perception and an effective Human-Robot Interaction framework. To validate this, we interviewed a crew of camera operators about TV robots. 60% reported negative feelings;fears of loss of jobs and relevance, but 60% wanted to learn more. Based on that, we developed an Internet of Things (IoT)- enabled Robotic Camera Dolly (IRCD) for the operators, with a companion interview/guidance protocol;the Pre and Post Interview Protocol, to monitor their reactions. Next, we deployed the IRCD at their TV station, where they completed a set of filming tasks using the IRCD. There was a jump in perception, with 60% positive feelings, 95% wanting to learn more, and 95% successfully completing their robot-powered filming tasks. Also, the IRCD registered a 0.15s response time and 5s video delay time, well within industry limits. These results show that positive perception and effective HRI could stimulate the adoption of Robotics in the TV & Film industry. An additional unplanned result;the IRCD, with its remote operations, enabled creators to continue making content while observing social distancing, thus reducing the financial impact of Covid-19 Lockdowns on TV & Film Production.