US 12,073,611 B2
Apparatus and methods for object detection using machine learning processes
Upal Mahbub, San Diego, CA (US); and Gokce Dane, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM INCORPORATED, San Diego, CA (US)
Filed on Dec. 23, 2021, as Appl. No. 17/561,299.
Prior Publication US 2023/0206613 A1, Jun. 29, 2023
Int. Cl. G06F 3/01 (2006.01); G06V 10/25 (2022.01); G06V 10/72 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01)
CPC G06V 10/82 (2022.01) [G06V 10/25 (2022.01); G06V 10/72 (2022.01); G06V 10/764 (2022.01); G06V 40/107 (2022.01)] 20 Claims
OG exemplary drawing
 
1. An image capture device comprising:
a non-transitory, machine-readable storage medium storing instructions; and
at least one processor coupled to the non-transitory, machine-readable storage medium, the at least one processor being configured to execute the instructions to:
obtain image data from a camera of the image capture device;
apply a trained machine learning process to the image data to generate an object value and a class value for each of a plurality of image portions of the image data;
determine, for each of the plurality of image portions, a confidence value based on the object value and the class value corresponding to each image portion; and
detect an object within at least one image portion of the plurality of image portions based on the confidence values.