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http://hdl.handle.net/10609/88005
Title: | Estudio de viabilidad para el control de existencias mediante reconocimiento visual y redes neuronales convolucionales |
Author: | Arencibia Guerra, Antonio |
Director: | Casas-Roma, Jordi |
Tutor: | Hernández-González, Jerónimo |
Abstract: | This project investigates the viability of a stock control system for a limited range of fruit in a three-dimensional, controlled environment. The system is based on deep learning techniques with the application of convolutional neural networks being used to detect objects in images. |
Keywords: | object detection object counting convolutional neuronal networks machine learning |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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aarencTFM0119memoria.pdf | Memoria del TFM | 2,81 MB | Adobe PDF | View/Open |
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