Zoe, developed by Edinburgh-based Zelim, is an advanced AI detection system designed to enhance safety in the offshore energy sector. This technology combines camera hardware with proprietary software to automatically identify when a person falls overboard and track their location in real time, improving response times. After a successful year on a North Sea rig, Zoe has been installed on a second Jack-Up Rig, signifying growing industry interest in AI for safety monitoring.
Zoe’s development was tailored for maritime environments, addressing the unique challenges of detecting individuals in various conditions. CEO Sam Mayall emphasized that the system can provide visual tracking and geo-location data, essential for coordinating rescue efforts. The machine learning models were informed by a vast dataset of over 7 million labeled images, allowing Zoe to recognize people in complex scenarios, such as being partially submerged or obscured by waves.
Beyond its primary function, Zoe can integrate into existing rig infrastructure, enhancing navigation and safety monitoring through additional modules. This technology not only improves situational awareness but can also support security measures by identifying potential navigational hazards or unauthorized vessels. Zelim’s AI systems aim to provide consistent and reliable detection, reducing the time it takes to respond to emergencies—all part of a shift towards smarter, more efficient operational safety strategies in the offshore sector.
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