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
Disclaimer: MIT Startup Exchange can make introductions that ideally provide open ended discussions in order to share mutual interests and potentially create common ground that incite the parties to collaborate. MIT Startup Exchange introductions may eventually lead to mutual partnerships, but that is not in any way guaranteed by MIT, MIT Corporate Relations, MIT Industrial Liaison Program (ILP) or MIT Startup Exchange, which takes no responsibility for these outcomes and no formal part in such discussions following our introduction. MIT Startup Exchange and its activities and events are not for purposes of soliciting investment or offering securities.