RT info:eu-repo/semantics/bachelorThesis
T1 Computer Vision system for rock classification using Artificial Neural Network
A1 Bernal Martínez, Antonio
A2 Universidad de Valladolid. Escuela de Ingenierías Industriales
K1 Neural Network
K1 Computer Vision
K1 Classification
K1 Cobblestone
K1 3310 Tecnología Industrial
AB This project has been proposed by the Nijst company, located in Belgium.This company works with natural stone tiles and cobblestones. One of itsactivities is the purchase of large quantities of old road stones at very lowprices, however the problem is that these stones, come in batches with differenttypes mixed. At the moment, there are two operators in charge of themanual sorting, and the objectives are to reduce sorting time and costs.This project explores the design of a computer vision system that is ableto classify between the different types of cobblestones on a conveyor beltand separate them into different boxes. To carry out the recognition part, acomputer vision system with a camera and lighting inside a black box, wasdesigned. Additionally, a python script based on the OpenCV library waswritten, to detect the cobblestone and track it. After that, a Artificial NeuralNetwork (ANN) was trained with histogram features such as, weightedmean, skewness, and kurtosis to classify the different types of cobblestones.Finally, for the separation part, a script was made with PLC programming sothat when the rock passes next to its corresponding box, an actuator wouldpush it inside.Overall, it is concluded that due to the high classification accuracy, the correctperformance of the system, and the extraordinary profitability, this projectthat has been carried out has been a success, heralding the promising futureof artificial neural networks for classification tasks.
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/48724
UL https://uvadoc.uva.es/handle/10324/48724
LA eng
NO Departamento de Ingeniería de Sistemas y Automática
DS UVaDOC
RD 24-nov-2024