Luxonis Demonstration of Neural Inference-controlled Crop, Zoom and H.265 Encode

Martin Peterlin, Chief Technology Officer at Luxonis, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Peterlin demonstrates neural inference-controlled crop, zoom and H.265 encode.

Peterlin shows how to use a neural network to guide what portion of a high-resolution (12 Mpixel) image sensor is output to a 2 Mpixel (1920×1080) h.265 encoded video stream. This capability allows a neural network or computer vision algorithm (e.g., motion estimation) to guide where the action is in a given scene, and then 6x losslessly zoom into that action, h.265 encoding the resultant 1920×1080 region of interest.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone: +1 (925) 954-1411
Scroll to Top