Recognition of supermarket products using Computer Vision
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/333115
Tipus de documentProjecte Final de Màster Oficial
Data2020-09-23
Condicions d'accésAccés obert
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Reconeixement-NoComercial-CompartirIgual 3.0 Espanya
Abstract
Automatizing processes is one of the common current improvements implemented in companies which take advantages of the latest technologies to be competitive in the market. Using Computer Vision techniques is a way to reach it without investing a great amount of money, that directly implies, in short term, production increase and, in long term, earnings. For this reason, the current project develops a Computer Vision algorithm, taking advantage of Machine Learning techniques, to depalletize a supermarket cases pallet. In fact, it aimed to improve an algorithm already developed, but due to the sanitary emergency for Covid-19 pandemic, it has been harder than expected to work on it. With the commented objective in mind, a brief research about what is Computer Vision is done, about its history and all the applications that are possible to find nowadays. In the same way, this is done for Machine Learning and Deep Learning, and the techniques usually applied in projects such the current one. Once understood these techniques and learned about the problem to be solved, some different algorithms are put into practice until the final approach is developed. Finally, challenges encountered during the realization of this project are commented, and also the future work that may be done through multiple ways to improve the algorithm. Also it is commented a bit the planning and programming of the project, the cost estimation and the possible environmental impact.
TitulacióMÀSTER UNIVERSITARI EN ENGINYERIA INDUSTRIAL (Pla 2014)
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
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memoria-tfm-jaume-ribas.pdf | 9,685Mb | Visualitza/Obre |