Water quality monitoring using RGB cameras

indy magnus

Indy Magnus: In this presentation, we will explain how a ‘Water-Quality Early Alert System’, enabling the remote, continuous and real-time monitoring of water using RGB cameras is being developed. Generally, the idea is to correlate the RGB camera images to a variety of physicochemical parameters and biological parameters without direct contact or the need of water samples. By doing a spectroscopic study of water with different parameters, using both a spectroradiometer and hyperspectral camera, the RGB camera outlook (filters, lenses) can be optimized. Machine learning techniques are employed to process the high-dimensional data and push the sensing performance even further.

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Deep Tech and Water quality Early Alert

Pablo Perez

Pablo Perez: Deep Tech: A game changing solution aiming the intersection of three disciplines: software combined with hardware and spectroscopy. A Water-quality Early Alert System (WEAS) based on water pictures analysis to remotely (in-situ) and real time evaluate water parameters (Color, Turbidity, pH, Conductivity, DO, COD, BOD, SS, Amonia) at any sampling point using water images, in a easy to use and cost effective way.

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Lien Smeesters, B-PHOT Brussels Photonics Team is Moderator of the ACTPHAST session

Lien Smeesters

Lien Smeesters from B-PHOT Brussels Photonics Team, Vrije Universiteit Brussels is Moderator of the ACTPHAST session at the Smart Farming Conference 2021.

Lien Smeesters is a post-doctoral researcher within the B-PHOT Brussels Photonics Team at the Vrije Universiteit Brussel (VUB). She focuses on multidisciplinary and applied-oriented research in the field of optical spectroscopy and optical design.

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