US 11,778,310 B2 · Machine learning operations on different location targets using camera orientation

Abstract

A machine learning (ML) operating mode is selected for a camera. A physical orientation of a housing of a camera is determined. In response to determining the orientation, an operating mode from a set of operating modes is selected. The set of operating modes includes at least a ML inference mode and a ML training mode. Based on the selected operating mode, images obtained by an image capturing unit are processed. In the ML inference mode, a ML controller applies a ML model to the images to infer or predict characteristics of the image (e.g., detecting objects within the images). In the ML training mode, the ML controller is configured to cause a ML model to be trained using images captured by the image capturing unit, either local to the camera or on a remotely located computing device.

Claims20

Dependent claims

A system comprising:

a processor;
and
memory coupled to the processor, the memory comprising computer executable instructions that, when executed by the processor, perform operations comprising:
determining an orientation of a first portion of a housing of an image capturing device;
selecting a machine-learning (ML) mode associated with the orientation of the first portion of the housing, the ML mode corresponding to at least one of:
an inference mode associated with a first physical orientation of the first portion of the housing;
and
a training mode associated with a second physical orientation of the first portion of the housing;
and
processing images obtained by the image capturing device according to the ML mode.

7 more elements

Dependencies are inferred from the claim text.

Machine learning operations on different location targets using camera orientation

Life of this patent

Machine learning operations on different location targets using camera orientation

Life of this patent

Abstract

Claims20