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Embedded Image Capture System for Liquid Monitoring in the Smart Chemical Industry

dc.rights.licenseopenen_US
hal.structure.identifierESTIA - Institute of technology [ESTIA]
dc.contributor.authorBOUSSAADA, Nesrine
hal.structure.identifierESTIA - Institute of technology [ESTIA]
dc.contributor.authorTERRASSON, Guillaume
ORCID: 0000-0002-3468-5883
IDREF: 136426158
hal.structure.identifierESTIA - Institute of technology [ESTIA]
dc.contributor.authorLLARIA, Alvaro
ORCID: 0000-0002-0348-6419
IDREF: 259161004
hal.structure.identifierESTIA - Institute of technology [ESTIA]
dc.contributor.authorCUREA, Octavian
ORCID: 0000-0002-5030-2088
IDREF: 68259131
dc.date.accessioned2023-04-05T09:16:07Z
dc.date.available2023-04-05T09:16:07Z
dc.date.issued2022-08-03
dc.date.conference2022-06-14
dc.identifier.issnElectronic ISSN: 2158-8481, Print on Demand(PoD) ISSN: 2158-8473en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172779
dc.description.abstractEnThe work presented in this paper is carried out as a part of the design of a supervision system based on a visual wireless sensor network dedicated to the Smart Chemical Industry. Since the visual sensor nodes are battery powered, our objective is to reach a compromise between the energy consumption and the exploitability of the captured images. In this article, we are interested in how to highlight some important details of the image at the moment of its capture, a topic which has not yet been exhaustively covered in previous research works. As light is absorbed by materials through which it is passing, a correct image exploitability can be reached when applying the adequate light color. Thus, this paper studies the color light effects on the captured images. For that, 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.publisherIEEEen_US
dc.subject.enSmart Industry
dc.subject.enVisual Wireless Sensor Network
dc.subject.enMonitoring
dc.subject.enImage processing
dc.subject.enliquid-liquid interface detection
dc.title.enEmbedded Image Capture System for Liquid Monitoring in the Smart Chemical Industry
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1109/MELECON53508.2022.9842908en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
dc.description.sponsorshipEuropeHYPERCOG H2020en_US
bordeaux.page97-102en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title21st Mediterranean Electrotechnical Conference (MELECON)en_US
bordeaux.countryiten_US
bordeaux.title.proceeding2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)en_US
bordeaux.conference.cityPalermoen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-03769649
hal.version1
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.date=2022-08-03&rft.spage=97-102&rft.epage=97-102&rft.eissn=Electronic%20ISSN:%202158-8481,%20Print%20on%20Demand(PoD)%20ISSN:%202158-8473&rft.issn=Electronic%20ISSN:%202158-8481,%20Print%20on%20Demand(PoD)%20ISSN:%202158-8473&rft.au=BOUSSAADA,%20Nesrine&TERRASSON,%20Guillaume&LLARIA,%20Alvaro&CUREA,%20Octavian&rft.genre=unknown


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