Eni, a global energy company, is looking for startups active in the field of computer vision, focusing in particular on industrial assets (upstream, refineries, chemical).
Currently, we have a number of active machine learning projects targeting our plants: from energy efficiency to production optimization, from anomaly detection on static and rotating equipment to HSE events monitoring and risk modelling. We also experimented briefly on vehicle tracking and safety equipment (helmet) detection via CCTV.
Now, we would like to explore how intelligent vision algorithms can boost our ability to understand the context, monitor multiple spots in our assets and detect in real time anomalies and unexpected events in general. We are interested in solutions for safety (both of staff and equipment), operations optimization and environmental impact monitoring.
In your response, please
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