EOS Viewer

eos viewer

The most advanced AI analytics engine for oil spill monitoring

The first comprehensive cloud AI solution, providing detection, quantification, and forecasting of oil spills at sea.

EOS Viewer offers unprecedented capabilities in terms of coverage and frequency of monitoring.

Measuring oil spill size and oil thickness

Our proprietary AI algorithm analyses radar and optical imagery from Earth Observation satellites, promoting proactive and cost-efficient surveillance of assets in remote locations.

Oil Spill Detection

Orbital EOS delivers the first operational solution that supports the automatic detection of oil spills. Brain patterns of experts in the field have been captured over the years and translated into deep learning algorithms, detecting oil spills with extreme accuracy and scalability.

Oil spill and oil thickness near the shorline

#1 Cloud AI Analytics Solution For Oil Spill Monitoring

Reliable Risk Assessment For Oil Spills At Sea

Faster & More Accurate Oil Spill Information

Oil Spill characterisation & source identification

Current surveillance technologies are helpless in identifying the type of spill. Whereas EOS Viewer delivers accurate characterisation of oil spills for the first time with up to 100% conclusiveness

Oil spill source identification is provided using AIS data analysis.

Identifying ships and oil spills at sea

10x cheaper

than conventional competitors

20x cheaper

than aircraft surveillance 

60% more accurate

in detecting oil spills

Thickness Mapping & Quantity Measurement

The two crucial challenges when an oil spill occurs are:

· finding its location
· measuring its quantity

EOS Viewer identifies the location and measures the thickness and quantity of oil spills.

Measuring the thickness of the oil spill

Where will the oil spill go – to the open sea or to the shore?
What direction would it take and when?

Oil spill drifting models

Forecasting the trajectory of the oil spills via drifting models is of utmost importance. It enables prevention and proper, optimized mobilization of the oil spill response teams. It helps estimate the magnitude of damages and make a timely risk assessment.

Forecasts How Oil Spills Move

all features

  • Automatic Oil Spill Detection

    Proprietary AI algorithm harvests trillions of bits of data from the satellite imagery and turns them into actionable and visual insights.

  • Oil Spill Identification

    Delivers accurate identification of oil spills for the first time with up to 100% conclusiveness.

  • Thickness Mapping

    Operational use of multispectral sensors enables the mapping of oil thickness. This is a crucial insight for oil spill responders.

  • Quantity Measurement

    Scientific methodology is used to estimate the quantity based on thickness mapping.

  • Source Identification

    AIS data is integrated to identify the source of the oil spill.

  • Instant Alerts

    The platform provides proactive monitoring and early alerts on oil spill events coming from oil rigs, pipes, and vessels.


See EOS Viewer in action

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