Ingeniería en Sistemas, Electrónica e Industrial

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    Sistema de teledetección aérea para control de agentes patógenos y enfermedades en cultivos de brócoli con el uso de visión artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-09) Laura Telenchana, Darwin Ronaldo; Urrutia Urrutia, Elsa Pilar
    Broccoli is one of the agricultural products in Ecuador with the highest rate of imports worldwide, due to this the development of the crop must be routinely inspected to counteract the curses that harm its production such as pests or diseases and preserve its high rate of productive quality. For this reason, the present research project is oriented to carry out inspection of broccoli crops by air with pre programmed flight plans that help to analyze the health status of the crop to be treated on time. The design and implementation of the aerial remote sensing system for the control of pathogens and diseases in broccoli crops is developed through the use of the YOLO v5x artificial vision algorithm for deep learning of the system in various production circumstances. The aerial remote sensing system uses a drone that helps to move the active and passive sensors that interact in the system. This drone is autonomous thanks to the implementation of a GPS module on its flight control board, which helps planning grid-type pre-programmed flights. This system receives the analysis of the health status of the broccoli crop by capturing images through a high-definition camera incorporated into the drone. Each image is captured in a time frame of 10 seconds to carry out its respective processing in real time through a graphical interface programmed in Python. The image consists of positioning data such as altitude and latitude obtained through a geolocation system that was implemented in the drone. These data help to locate the specific point where the images were captured and interpret the results obtained in the analysis of the culture for each one of them. The results of the image processing are stored in a database, for the autonomous training of the artificial vision algorithm and improvement of the prototype in the detection of false positives and false negatives
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    Sistema de comunicación y transmisión de video en tiempo real a través de drones a larga distancia
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Telecomunicaciones, 2021) Moreta Changoluiza, Janneth Elizabeth; Moreno Avilés, Hugo Oswaldo
    One of the major technological trends worldwide is the development and use of Unmanned Aerial Vehicles (UAV) civil and military fields. Nowadays, video transmission has become a trend, and as technology advances, the human being demands more sophisticated technological tools. In this case we are looking at better quality real-time video transmission which increases even more with the help of a drone allowing the user to have an overview of areas difficult to access. This article shows the design and implementation of a wireless communications system which allows transmission of video in real time (Streaming) from the DJI Matrice 600 Pro industrial drone in flight controlled from a ground base station. Software with SDR (Software Defined Radio) technology was used for this project, which has helped complete several stages of the system. With the exception of elements such as antennas or amplifiers, all of the blocks have been implemented normally. On the other hand, the use of hardware was minimized to the use of a computer with LabVIEW, USRPs, a drone, a camera and the antennas. For the verification of the results, the respective tests were carried out in a lab.