Artificial intelligence and cutting-edge digital technologies are radically changing the way natural resources are managed. By collecting, processing, and correctly analysing large amounts of data, we find new answers to the major challenges of the water cycle and to make production and environmental processes more efficient and sustainable.
We start from the digitisation of the water cycle to develop algorithms, data-based models and tools. In this way, we optimise the operation to ensure safety and efficiency.
Computer vision for automated detection of anomalous events in water plants
Detection and localisation of sectors with anomalous behaviour in supply networks
Computer Vision techniques for sewage treatment plants.
Monitoring of drinking water through the Copernicus programme.
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