Offshore AI Safety Monitor
Safety officers can't be everywhere. Complacency leaks into routine operations, leading to deadly accidents.
Operating in harsh ocean environments, safety is paramount. Manual inspections were intermittent; they needed 24/7 eyes on deck.
•Remote location
•Harsh environment
•Zero-accident goal
•Edge computing
Edge Vision
AI models running on local cameras detecting hard hats, vests, and man-down events.
Zone Control
Alerting crane operators if a person enters a 'red zone' during lifting.
Satellite Sync
Sending low-bandwidth summaries to HQ for compliance reporting.
1
Connectivity
Cloud inference was impossible. AI had to run on the rig (Edge).
2
Weather
Cameras had to see through rain, salt spray, and darkness.
45%
reduction in near-miss safety incidents
100%
compliance with PPE regulations
Faster
emergency response to falls or accidents
Lower
insurance premiums for the asset
We deployed Edge AI cameras. They 'see' unsafe behavior - like a worker without a harness - and trigger a local alarm instantly. It's a digital guardian angel that never sleeps.
NVIDIA JetsonTensorFlowOpenCVAzure IoT EdgePython
