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dc.contributor.authorSulca, Kabir P.
dc.contributor.authordel Prado Santamaria, Rodrigo
dc.contributor.authorKari, Thøger
dc.contributor.authorA, Julián
dc.contributor.authordos Reis Benatto, Gisele Alves
dc.contributor.authorSpataru, Sergiu Viorel
dc.date.accessioned2026-01-20T12:05:38Z
dc.date.available2026-01-20T12:05:38Z
dc.date.issued2025
dc.identifier.citation42nd European Photovoltaic Solar Energy Conference and Exhibition 2025es
dc.identifier.isbn3-936338-93-0es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/81868
dc.descriptionProducción Científicaes
dc.description.abstractDaylight electroluminescence (dEL) inspection using InGaAs cameras has proven to be a powerful technique for assessing the condition of photovoltaic (PV) modules in the field. Recent advancements have shown it suitable for quality control and evaluation tasks in large-scale solar installations. The quality of dEL images is crucial for accurately identifying potential defects. Therefore, it is important to determine which camera optical stack yields stronger signals in dEL imaging. Camera optical stacks typically include specialized short-wave infrared (SWIR) lenses and bandpass filters to reduce background sunlight. To further limit the light intensity reaching the sensor and prevent saturation, options include adjusting the lens iris, using neutral density (ND) filters, or reducing exposure time. The choice among these depends on system constraints. Even though reducing exposure time is the easiest way to accomplish no saturation, high exposure time reduces noise, so ND filters and the iris are interesting options independent of the camera’s internal controller. This study compares the light intensity reduction methods between ND filters and iris providing higher EL and dEL image quality using signal-to-noise ratio (SNR) as metric. Two SNR metrics (SNRkari and SNR(25)) are used to evaluate the configurations. We compare two setups: one using a C-RED 3 InGaAs camera with a SWIR lens (F-stop range 1.4–16) and a bandpass filter, and another using the same camera and lens fixed at Fstop 1.4 (fully open) combined with ND filters of varying transmittance (0.73 to 0.02). Indoor EL data is used to characterize light attenuation for each configuration. Subsequently, dEL images are captured under 600-800 W/m² irradiance for both setups. The results show that using the iris to reduce light intensity yields higher image quality. This is attributed to the increased depth of field resulting from a smaller optical aperture, which enhances the focus range and sharpness of the captured images. In conclusion, the study demonstrates that using a lens with an adjustable iris is more effective for dEL imaging with InGaAs cameras. This finding is valuable for optimizing optical setups to achieve high-SNR images in PV module inspections.es
dc.format.extent6 pes
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherEUPVSEC Conferencees
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subject.classificationDaylight Electroluminescence, InGaAs Camera, EL Signal-to-Noise Ratio, Photovoltaic Module Inspectiones
dc.titleEvaluating the Efficacy of Neutral Density Filters and Camera Lens Aperture for Reducing Sensor Saturation and Increase Image Quality in Daylight EL Imaginges
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.holderEUPVSEC Conferencees
dc.identifier.doi10.4229/EUPVSEC2025/3AV.3.23es
dc.relation.publisherversionhttps://userarea.eupvsec.org/proceedings/EU-PVSEC-2025/3AV.3.23/es
dc.title.event42nd European Photovoltaic Solar Energy Conference and Exhibition 2025es
dc.description.projectSpanish Ministry of Science and Innovation project PID2023- 148369OB-C43es
dc.description.projectRegional Government of Castilla y León (Junta de Castilla y León) and Ministry of Science and Innovation and European Union NextGenerationEU / PRTR under project “Programa Complementario de Materiales Avanzados"es
dc.rightsAttribution-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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