Guevara Salgado, Pedro RafaelContreras Martínez, Dilson EduardoGuevara Jaraba, Michael Josephe2021-07-032021-07-032021-06-25https://repositorio.unicordoba.edu.co/handle/ucordoba/4226The purpose of this work was to create an Ecological Spot to separate and classify the waste discarded by the students of the University of Córdoba in the municipality of Sahagún; It also seeks to promote an environmental culture among students. The project was developed using the ML5.JS library; which provides models and learning algorithms; that allow the creation of intelligent machine learning systems to recognize objects (Shiffman, 2019). An object recognition system was developed through the K-Nearest Neitghbor algorithm to separate and classify the waste. In the construction of the Ecological Spot, different electronic devices were used such as: Raspberry pi, servo motors, Arduino board, web camera, LCD screen, among others. Finally, the interaction of all these devices was achieved so that the recognition system could classify waste such as plastic, chip bags, paper and paperboard/cardboard.RESUMEN........................................................................................................ 13ABSTRACT ...................................................................................................... 141. INTRODUCCIÓN .................................................................................... 152. OBJETIVOS ............................................................................................. 172.1. Objetivo General ............................................................................... 172.2. Objetivos Específicos......................................................................... 173. REVISIÓN BIBLIOGRÁFICA............................................................... 183.1. Planteamiento del problema ............................................................. 183.1.1. Definición del problema ............................................................ 183.1.2. Formulación del problema ........................................................ 193.2. Justificación ....................................................................................... 203.3. Marco teórico ..................................................................................... 223.3.1. Contaminación ambiental ......................................................... 223.3.2. Tipos de contaminación ............................................................. 233.3.3. Clasificación y separación de residuos ..................................... 243.3.4. Inteligencia artificial .................................................................. 263.3.5. Reconocimiento de objetos por medio de imágenes ................ 273.4. Marco conceptual .............................................................................. 304. ESTADO DEL ARTE .............................................................................. 324.1. Antecedentes investigativos .............................................................. 325. MATERIALES Y MÉTODOS ................................................................ 355.1. Diseño metodológico .......................................................................... 355.1.1. Tipo de investigación ................................................................. 355.1.2. Población y muestra ................................................................... 355.2. Etapas o fases del diseño ................................................................... 365.2.1. Fase I. Creación del prototipo................................................... 365.2.2. Fase II. Diseño y desarrollo del sistema de detección de residuos 375.2.3. Fase III. Pruebas de verificación de la funcionalidad ............ 456. RESULTADOS Y DISCUSIONES ......................................................... 487. CONCLUSIONES .................................................................................... 518. RECOMENDACIONES .......................................................................... 539. BIBLIOGRAFÍA ...................................................................................... 54application/pdfspaCopyright Universidad de Córdoba, 2021Trabajo de grado - Pregradoinfo:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)ML5.JSRaspberry piLCDK-nearest neitghborML5.JSRaspberry piLCDK-nearest neitghbor