Automatic target recognition system for detection and classification of objects in water

This invention describes a system that uses laser light to scan an area of water. It captures multiple images, converts them into 3D data points (voxels), and then analyzes these points to find and identify objects floating on or submerged in the water. The core method relies on LADAR (Laser Detection and Ranging) technology.

Why it matters: LADAR hardware has become more compact and affordable since 2007, making such systems more practical. Deep learning for object detection and classification from complex 3D data is vastly more capable and efficient now, improving the core processing step.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedLADAR hardware, complex software system

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