US 12,417,624 B2
Change detection device and related methods
Mark D. Rahmes, Melbourne, FL (US); Glenn Boudreaux, Melbourne, FL (US); and William W. Watkins, Melbourne Beach, FL (US)
Assigned to EAGLE TECHNOLOGY, LLC, Melbourne, FL (US)
Filed by EAGLE TECHNOLOGY, LLC, Melbourne, FL (US)
Filed on Oct. 21, 2022, as Appl. No. 18/048,528.
Prior Publication US 2024/0135694 A1, Apr. 25, 2024
Prior Publication US 2024/0233354 A9, Jul. 11, 2024
Int. Cl. G06V 10/82 (2022.01); G06V 10/764 (2022.01); G06V 20/10 (2022.01)
CPC G06V 10/82 (2022.01) [G06V 10/764 (2022.01); G06V 20/10 (2022.01)] 21 Claims
OG exemplary drawing
 
1. A change detection device comprising:
a variational autoencoder (VAE) configured to encode image data to generate a latent vector, and decode the latent vector to generate new image data; and
a controller configured to
select a deep learning model from a plurality of different deep learning models based upon the new image data and a game theory reward matrix, and
process the new image data using the selected deep learning model to detect changes therein.