A field of artificial intelligence (AI), computer vision is a science that focuses on training and enabling computers to interpret and understand the visual world. Computers use digital images from cameras and videos and deep learning models to identify and classify objects, and use that “knowledge” to accurately identify and classify objects and react to what they “see” – whether people, things, or other kinds of information.
For more than two decades, Cybernet has been developing and advancing our work in computer vision capabilities and have produced proven solutions for automated recognitions of targets, missiles in flight, air/spacecraft outlines, and physical road features, for example.
In our portfolio of solutions, our systems recognize an ever-growing list of objects from one or several cameras, with object descriptions input through commonly used CAD formats like IGES or DXF — spacecrafts, parts, grasp points, docking targets, or anything that can be defined by a CAD drawing or description.
When presented with workspace views, including objects and other features such as background clutter, etc., Cybernet’s vision systems fixate only on objects that have been “taught” to the machine. Once the target is matched, based on the computer’s learned “knowledge,” the object’s position and orientation is calculated.