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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorBOUSSAADA, Nesrine
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorTERRASSON, Guillaume
ORCID: 0000-0002-3468-5883
IDREF: 136426158
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorLLARIA, Alvaro
ORCID: 0000-0002-0348-6419
IDREF: 259161004
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorCUREA, Octavian
ORCID: 0000-0002-5030-2088
IDREF: 68259131
dc.date.accessioned2024-05-15T15:06:18Z
dc.date.available2024-05-15T15:06:18Z
dc.date.conference2022-03-30
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199899
dc.description.abstractEnThis paper proposes a contribution aiming to improve the captured image exploitability in a visual supervision system dedicated to the Smart Chemical Industry. For that we perform a study of the color light effects on captured images. One visual sensor node, based on Raspberry Pi and a camera, is designed to conduct experiments. In addition, a laboratory glass container including liquids is developed and used as an emulator of the real system.
dc.language.isoENen_US
dc.title.enEmbedded Image Capture System for Liquid Monitoring in the Smart Chemical Industry
dc.typePosteren_US
dc.subject.halSciences de l'ingénieur [physics]en_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.titleJournée de l'Ecole Doctorale SPI Université de Bordeaux 2022en_US
bordeaux.countryfren_US
bordeaux.conference.cityBordeauxen_US
bordeaux.import.sourcehal
hal.identifierhal-03898594
hal.version1
hal.invitednonen_US
hal.popularnonen_US
hal.audienceNationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=BOUSSAADA,%20Nesrine&TERRASSON,%20Guillaume&LLARIA,%20Alvaro&CUREA,%20Octavian&rft.genre=unknown


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