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.

Continue reading “Water quality monitoring using RGB cameras”