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Recognition and classification: the use of computer vision in the retail industry

dc.contributor.advisorCastelli, Mauro
dc.contributor.authorDuarte, Pedro Miguel Cabrita
dc.date.accessioned2020-05-11T15:27:21Z
dc.date.available2020-05-11T15:27:21Z
dc.date.issued2020-04-14
dc.descriptionProject work presented as a partial requisite to obtain the Master Degree in Information Management with specialization in Knowledge Management and Business intelligencept_PT
dc.description.abstractAutomatic recognition of text and classification of it, using image processing techniques such as optical character recognition and machine learning, are indicating new ways of capturing information on fast-moving consumer goods. Such systems can play an important role in market research processes and operations, in being more efficient and agile. The necessity is to create a system that is able to extract all text available on the packaging and quickly arrange it into attributes. The goal of this investigation is to use a combination of optical character recognition and machine learning to achieve a satisfactory level of efficiency and quality. In order for such a system to be introduced to the organization, it needs to be faster and more effective than currents process. One of the advantages of using such a system is the independence of the human factor, which leads to a higher probability of error.pt_PT
dc.identifier.tid202483819pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/97487
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMarket Researchpt_PT
dc.subjectCodingpt_PT
dc.subjectRetailerpt_PT
dc.subjectComputer Visionpt_PT
dc.subjectOptical Character Recognitionpt_PT
dc.subjectNeural Networkspt_PT
dc.titleRecognition and classification: the use of computer vision in the retail industrypt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Gestão de Informação, especialização em Gestão do Conhecimento e Inteligência de Negócio (Business Intelligence)pt_PT

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