Space is becoming increasingly busy and crowded, creating a need for those with a vested interest to keep track of the over 35,000 objects in our near-Earth environment alone. The extraordinary uptick in space activity in recent years is primarily due to mega constellations of satellites which intensify the need to detect and clearly discriminate between their types (or classes) using currently available sensing and imaging.
O Analytics is addressing this enormous challenge with solutions that provide timely, actionable information from less-than-ideal imagery within tightly constrained transfer bandwidths. Our solutions can also work in tandem with newer and emerging multi-modal sensing innovations. In short, using our unique algorithmic approach, we extract key features from the ’dots and streaks’ in space imagery – fast; and ‘make it make sense’ by providing important information to alert further investigation by military, intelligence or commercial entities.
DeLTA™️ Lite quickly examines space imagery to detect significant space object events that may warrant further action.
DeLTA™️ is our deep learning inspired algorithmic software system that combines physics, computational and data science elements to extract relevant information from imagery to discriminate between satellite types
DeLTA™️ II extends DeLTA™️ characterization to focus on examining details of activity associated with objects doing interesting things in space. This is an essential component of a larger strategy of predicting what is likely to occur next.
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