Perception from the stream itself.

Most computer vision starts with a model trained elsewhere on millions of labelled images. Senua AI learns a scene from the camera's own stream: what moves together, what persists, and what changes.

What it does

From raw footage the engine groups movement into objects, gives each one its own identifier, and follows it through the scene. Where it has been told what something is called, it names it, with a confidence. Where it has not, it says it does not know rather than guessing a label.

Why the edge matters here

A camera that sends everything to a data centre needs a fast link and hands its footage to someone else. A camera that understands its own stream can decide on the device, send only what matters, and keep working when the link is gone.