The most advanced AI analytics engine for oil spill monitoring
The first comprehensive cloud AI solution, providing detection,quantification, and forecasting of oil spillsat sea.
EOS Viewer offers unprecedented capabilities in terms of coverage and frequency of monitoring.
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.
#1 Cloud AI Analytics Solution For Oil Spill Monitoring
Current surveillance technologies are helpless in identifying the type of spill. Whereas EOS Viewer delivers accuratecharacterisation of oil spills for the first timewith up to 100% conclusiveness.
Oil spill source identification is provided using AIS data analysis.
than conventional competitors
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.
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.
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.
Operational use of multispectral sensors enables the mapping of oil thickness. This is a crucial insight for oil spill responders.
Scientific methodology is used to estimate the quantity based on thickness mapping.
AIS data is integrated to identify the source of the oil spill.
The platform provides proactive monitoring and early alerts on oil spill events coming from oil rigs, pipes, and vessels.