HydroSense AI

Publications

Gallery

Snapshots from research, data visualizations, and fieldwork moments.

A wooden water wheel is surrounded by lush greenery and shrubs, positioned in an open area. In the background, there is a metal lattice electricity pylon with wires stretching across the sky. The setting appears rural and serene, with a dry stone wall visible in the vicinity.
A complex assembly of industrial machinery components with numerous metal pipes, valves, and connectors. The surface has a metallic texture with a greyish color, and the equipment appears to be well-maintained.
A solar panel is positioned on a large rock near a body of water, suggesting energy harnessing in a natural setting.
Two workers interact with a large piece of industrial machinery, possibly for maintenance or repair. The ground is rough and composed of gravel or rocks, and various tools and containers are scattered nearby. The machine dominates the upper part of the image, appearing heavy and complex with a metallic construction.
A complex network of blue hydraulic tubes connected to a metal machinery component, with a visible orange filter bearing text in the background. The surface exhibits signs of wear and dirt, indicating usage and exposure to industrial conditions.
A large concrete dam structure with multiple vertical pillars extends across a flowing river. The water is turbulent, with frothy waves near the structure, and becomes calm further away. In the background, green trees, distant power lines, and cranes are visible under a partly cloudy sky.
A muddy and rugged industrial machine with various cables and hydraulic components. It appears to be involved in heavy-duty work, potentially in construction or drilling. The setting seems outdoors with some greenery in the background.
A person wearing a graduation cap and gown holds a smartphone displaying the text 'classe of 2022' with a graduation cap graphic. The background is blurred, emphasizing the phone and the message.

Feedback

Hydrosense AI’s predictive models transformed our hydropower monitoring—accurate and timely insights.
The real-time anomaly detection helped us prevent costly downtime, truly a game changer in energy management.