Publication: Aplicación de inteligencia ambiental para la plataforma de cámaras inteligentes Inteox
Loading...
Official URL
Full text at PDC
Publication Date
2022-05-24
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Exportar
Abstract
El objeto de este trabajo es el estudio y evaluación de la plataforma Inteox 7000i de Bosch para su aplicación en inteligencia ambiental dedicada a la detección de los distintivos medioambientales de la DGT, que ayude a controlar la contaminación en calles de Madrid Central. Para ello se enseña cómo se configura este dispositivo IoT y el ecosistema de Azena, conocido también como Security and Safety Things, para el desarrollo aplicaciones móviles que ejecuta la cámara.
Durante el proceso de evaluación se explicará en qué consiste la detección de objetos y su aplicación en el ámbito de la inteligencia artificial, como se ha generado el dataset utilizado, las diferentes versiones de redes neuronales utilizadas y como han sido entrenadas. Finalizando con una comparativa del rendimiento de los modelos de deep learning utilizados en la cámara y diferentes propuestas para mejorar los resultados.
The object of this work is the study and evaluation of the Bosch Inteox 7000i platform for its application in environmental intelligence dedicated to the detection of the environmental hallmarks of the DGT, which help control pollution in the streets of Madrid Central. To do this, it is taught how to configure this IoT device and the Azena ecosystem, also known as Security and Safety Things, for the development of mobile applications that run the camera. During the evaluation process, it will be explained what object detection consists of and its application in the field of artificial intelligence, how the dataset used has been generated, the different versions of neural networks used and how they have been trained. Ending with a comparison of the performance of the deep learning models used in the camera and different proposals to improve the results.
The object of this work is the study and evaluation of the Bosch Inteox 7000i platform for its application in environmental intelligence dedicated to the detection of the environmental hallmarks of the DGT, which help control pollution in the streets of Madrid Central. To do this, it is taught how to configure this IoT device and the Azena ecosystem, also known as Security and Safety Things, for the development of mobile applications that run the camera. During the evaluation process, it will be explained what object detection consists of and its application in the field of artificial intelligence, how the dataset used has been generated, the different versions of neural networks used and how they have been trained. Ending with a comparison of the performance of the deep learning models used in the camera and different proposals to improve the results.
Description
Trabajo de Fin de Grado en Ingeniería de Computadores, Facultad de Informática UCM, Departamento de Ingeniería del Software e Inteligencia Artificial, Curso 2021/2022.