The specific symptomatology of Covid-19 reveals discomfort with mild or moderate intensity depending on the body of each person. This article develops the design of an automatic device that encompasses an intelligent control and monitoring system for symptoms of covid-19, which allows determining and identifying an estimate of suspected cases of people who enter the Continental University - Peru, through a reading of patterns. The device was made covering three systems (mechanical, mechatronic and control), the integration of systems allowed an efficient design, dimensioned calculations in the mechanical, electrical, and electronic, and its integration of hardware-software for the graphical interface. The system presented allows real-time monitoring of parameters captured by sensors with IOT technology, which has made it possible to deepen and estimate suspected cases of covid by comparing measured values with the ranges of values established by the American Medical Association.
|2022 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022
|Published - 28 Jul 2022