Orbital Insight unveils multiclass object detection algorithms for ships, aircraft and vehicles

Orbital Insight has announced the launch of multiclass object detection algorithms within its GO platform. Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery. The state-of-the-art multiclass ship detection algorithms will bring immediate benefits to the defense and intelligence community for security, supply chain and other critical needs.

Orbital Insight’s flagship GO platform is purpose-built for the DoD/Intelligence Community to deliver insights in a cloud-agnostic, secure and readily deployable environment. GO will deploy to government networks this year. GO combines information from the world’s sensors—including satellite, aerial, AIS and IoT devices—to analyze economic, societal and environmental trends at scale. The technology supports critical activity-based intelligence by helping spot trends buried within billions of data points, such as patterns at global ports, airports and buildings. The platform is also an invaluable tool for commercial sectors like financial services and real estate to understand evolving trends.

Each of the new multiclass object detection algorithms will help the military and intelligence community automatically monitor activity at thousands of areas of interest. Aircraft detection can find and separate fighters, bombers, helicopters, commercial jets and more; ship detection can identify war ships, cargo ships, fishing vessels and other fleets; and vehicle detection can differentiate between cars, trucks, railcars and soon to be mobile missile launchers and tanks.

www.orbitalinsight.com