Approach
A foundation for physical understanding.
HoloMedX builds computer vision and machine learning that turn what cameras see into an understanding of an environment: the objects in it, how they relate, and how they change.
Three ideas
What understanding is made of.
Objects
Recognizing what is present, and keeping hold of that identity as things are handled and moved.
Relationships
Where objects sit in relation to one another, to surfaces, and to the people working among them. Arrangement carries meaning that a single detection does not.
Change
Environments are never still. Reading the present state in light of what came before is what turns a sequence of images into an understanding.
Toward applications
Understanding that can be used.
An understanding built this way can be read by people and used by machines. It can help interpret how activity unfolds in a space, and give a machine the context to respond to its environment. Those are the directions HoloMedX is building toward, in robotics, analytics, and beyond.