Implementación de un sistema de control remoto para la inspección de un proceso inmótico sobre un sistema embebido a través de internet para la contingencia del COVID 19.

Abstract

The project went through several phases. Initially, a study of state of the art is carried out to identify the types of inmotic systems currently existing and have the most appropriate alternative to meet the stipulated objectives. Subsequently, the operation of artificial vision techniques, methods, and equipment used for implementation were studied. An artificial vision system and a specific database of images (data sets) are used to develop a programming code for facial recognition that identifies masks in individuals who approach the place. Next, the inmotic network is created, which will wirelessly link all the system points, ordering the communication and configuration parameters—highlighting the fundamental elements for creating this wireless network; a Raspberry Pi board will be used. In the control system development, it was necessary to design and build a network control point or node and another for the server on said board so that the enclosure elements such as camera, motor, and ultraviolet light can be connected and controlled. In addition, an electrical control board with standard voltage outputs was developed for the operation of the aforementioned final control elements. A web application (Interface) in REACT (Free Software JavaScript Library) is created to access the system and control it, allowing interaction between each of the devices that contemplate the process. Finally, the control system will be evaluated, verifying the operation and compliance with the objectives described above.