US 12,190,698 B2 · Systems and methods for automatic spotting and safety indicator deployment

Abstract

Embodiments of the present disclosure relate to operations related to extracting subsections of an obtained image corresponding to an environment. The operations may further include, determining one or more gradients of pixel intensities corresponding to the subsections of the obtained image. Further, determining one or more vectors based on a frequency corresponding to the one or more gradients of pixel intensities corresponding to the subsections corresponding to the obtained image. The operations may further include classifying one or more characteristics corresponding to the obtained image using one or more machine learning models and detecting a presence of one or more safety triggers in the environment based on the one or more determined vectors corresponding to the one or more subsections of the obtained image. Further, the operations may include automatically deploying a safety indicator based on the detecting the presence of the one or more safety triggers in the environment.

Claims14

Dependent claims

A method comprising:

extracting one or more subsections of an obtained image corresponding to an environment;
determining one or more gradients of pixel intensities corresponding to the one or more subsections of the obtained image;
determining one or more vectors based on a frequency of the one or more gradients of pixel intensities corresponding to the one or more subsections corresponding to the obtained image;
classifying, using one or more machine learning models, one or more characteristics corresponding to the one or more subsections of the obtained image based on the one or more determined vectors;
detecting a presence of one or more safety triggers in the environment based on the one or more classified characteristics corresponding to the one or more subsections of the obtained image;
and
automatically deploying a safety indicator based on the detecting the presence of the one or more safety triggers in the environment.

4 more elements

One or more non-transitory computer-readable storage media configured to store instructions that, in response to being executed, cause a system to perform operations, the operations comprising:

extracting one or more subsections of an obtained image corresponding to an environment;
determining one or more gradients of pixel intensities corresponding to the one or more subsections of the obtained image;
determining one or more vectors based on a frequency corresponding to the one or more gradients of pixel intensities corresponding to the one or more subsections corresponding to the obtained image;
classifying, using one or more machine learning models, one or more characteristics corresponding to the one or more subsections of the obtained image based on the one or more determined vectors;
detecting a presence of one or more safety triggers in the environment based on the one or more classified characteristics corresponding to the one or more subsections of the obtained image;
and
automatically deploying a safety indicator based on the detecting the presence of the one or more safety triggers in the environment.

4 more elements

Dependencies are inferred from the claim text.

Systems and methods for automatic spotting and safety indicator deployment

Life of this patent

Systems and methods for automatic spotting and safety indicator deployment

Life of this patent

Abstract

Claims14