Ingeniería en Sistemas, Electrónica e Industrial

Permanent URI for this communityhttp://repositorio.uta.edu.ec/handle/123456789/1

Browse

Subject: search.filters.subject.JETSON NANO

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Sistema para el monitoreo del tráfico vehicular y la contaminación auditiva mediante el uso de sensores inalámbricos e inteligencia artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2025-02) Zamora Medina Jarod Vinicio; Guamán Molina Jesús Israel
    This project develops an intelligent monitoring system for vehicular traffic and noise levels on Los Chasquis Avenue using embedded processing technologies and artificial intelligence. The methodology is structured into four main stages. In the first stage, data is collected using a video camera and a MAX9814 audio sensor connected to an ESP32. The audio signal is transmitted to a Jetson Nano, where joint video and audio processing is performed. The second stage implements the YOLOv8x object detection model for accurate counting and classification of vehicles based on video data. Simultaneously, the audio analysis measures noise levels in decibels and classifies them into categories such as low, medium, or high. In the third stage, the processed data, including the number of vehicles, noise levels, and registration dates, is sent and stored in a MySQL database via the embedded system. Finally, in the fourth stage, the results are visualized through an interface developed with Node-RED, enabling the analysis of traffic and noise patterns over time. This functionality facilitates the planning and management of vehicular transit as well as the evaluation of auditory contamination in the area. The results demonstrate that the system provides precise and efficient analysis, delivering relevant data to optimize mobility and reduce acoustic impact in urban areas.
  • No Thumbnail Available
    Item
    Sistema electrónico para la detección de posición angular y ergonomía de ciclistas empleando visión artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-03) Briseño Sánchez, Joseph David; Córdova Córdova, Edgar Patricio
    This research project proposes the implementation of an electronic system for the angular detection and ergonomics of cyclists using artificial vision, so that the adjustments recommended by it help to have a correct ergonomic positioning at the time of cycling routes. Therefore, it is very important to perform a biomechanical analysis of the body gestures generated by the cyclist during the pedaling process. The electronic system for man-machine coupling in cyclists, bikefit, consists of a mini computer Jetson Nano which is connected to different input and output peripherals that allows 2D detection of the skeleton of the athlete to be analyzed. It shows in video and in real time the different points of the joints that allows to calculate the angles generated in each limb, thus obtaining values that can be compared with previous studies and establish recommendations for bicycle adjustments. This in order to have an optimal position to increase performance and avoid injuries in the short or long term. All the data obtained are displayed in an easy to interpret interface, both for the person performing the analysis and for the person being analyzed. Two reports are generated, the initial report that indicates the adjustments and angles with which the cyclist has arrived and the final report that shows the fitting process with the angles and recommendations executed, this report has the function of informing the cyclist of the variations made on his bicycle. The results obtained in the performance tests are consistent, showing that the system has a confidence value of 95.22%, after comparison with a manual measurement method with a goniometer, demonstrating that the prototype is valid for bike fitting analysis.
  • No Thumbnail Available
    Item
    Sistema electrónico de control y etiquetado de molduras para cuadros en tiempo-real mediante machine learning
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Chávez Pico, David Alejandro; Herrera Garzón, Marco Antonio
    In this work, a real-time system is presented that performs the detection of the different types of moldings made from the analysis of the image processing of their different surfaces, silhouettes and colors. The need to use this electronic system for the control and labeling of moldings for paintings in real time through machine learning is to reduce production times and store the number of moldings manufactured in a database in order to avoid downtime on the part of workers and thus increase productivity in the factory. In addition, it has the tools, software and hardware to be able to do it, in this case a device called NVIDIA's Jetson Nano will be used for image analysis with its respective camera, which allows artificial vision applications. On the other hand, this control system allows the moldings manufactured to be labeled with their specific characteristics by means of a QR code to make it functional and practical in the factory. This will benefit production since the amount of molding will increase, since costs will be reduced and there will be an increase in profits. Another important aspect is that with this system it is intended to have scalability for the future due to the fact that there are different branches where the moldings are transported and it will help to have a more exact control from the time the load leaves until the load arrives to avoid delays in counting as conventionally. It has been done in recent years, this data can be taken directly to the accounting department who are in charge of the amount of production that is carried out in the factory and the amount that is transported to the headquarters and each of the branches.