Throughout the COVID-19 pandemic, the most common symptom displayed by patients has been a fever, leading to the use of temperature scanning as a preemptive measure to detect potential carriers of the virus. Human employees with handheld thermometers have been used to fulfill this task, however this puts them at risk as they cannot be physically distanced and the sequential nature of this method leads to great inconveniences and inefficiency. The proposed solution is an autonomously navigating robot capable of conversing and scanning people's temperature to detect fevers and help screen for COVID-19. To satisfy this objective, the robot must be able to (1) navigate autonomously, (2) detect and track people, and (3) get individuals' temperature reading and converse with them if it exceeds 38{\deg}C. An autonomously navigating mobile robot is used with a manipulator controlled using a face tracking algorithm, and an end effector consisting of a thermal camera, smartphone, and chatbot. The goal is to develop a functioning solution that performs the above tasks. In addition, technical challenges encountered and their engineering solutions will be presented, and recommendations will be made for enhancements that could be incorporated when approaching commercialization.
翻译:在整个COVID-19大流行期间,病人显示的最常见症状是发烧,导致使用温度扫描作为检测病毒潜在载体的先发制人措施;使用手持温度计的人体雇员完成这项任务时,尽管这使他们处于危险之中,因为他们无法保持身体距离,而且这种方法的相继性质导致极大的不便和效率低下;提议的解决办法是一个自主导航的机器人,能够对人们的温度进行交谈和扫描,以检测发烧情况并帮助检测COVID-19的屏幕。为了实现这一目标,机器人必须能够(1) 自主导航,(2) 探测和跟踪人,(3) 如果个人温度计超过38毫秒,则与他们进行温度读数和交汇。使用自主驾驶的移动机器人,使用一个操纵器,使用面部跟踪算法,以及由热相机、智能手机和聊天器组成的终端效应。目标是开发一个能执行上述任务的功能性解决方案。此外,还将遇到技术挑战及其工程解决方案,并将提出建议,以便在接近商业化时加以整合。