Instead of capturing every single "Full" frame, new hybrid cameras are using the Multicameraframe setup to train neural networks. The AI observes the "Motion Full" vectors from 4 cameras and hallucinates the missing motion for the other 60 cameras. This reduces storage by 90%.
Multicameraframe Mode Motion Full refers to an imaging or video capture mode (often in cameras, smartphones, or video systems) that records multiple camera frames across different sensors or viewpoints, with motion-handling set to a “full” or maximal processing profile. It combines multi-camera fusion, temporal alignment, and aggressive motion compensation to produce a single coherent output (photo or video) that preserves detail, reduces artifacts, and keeps moving subjects stable. multicameraframe mode motion full
Augmented Reality demands depth. Standard video creates flat planes. When you activate , you are essentially recording a light-field video. A viewer on a Vision Pro or Quest 3 can lean left and right, seeing the correct parallax of the foreground against the background—even while the subject is in full sprint. Instead of capturing every single "Full" frame, new