Patent ID: 11928880
Assignee: AMAZON TECHNOLOGIES, INC.
Field: nan (nan)
Classification: CPC nan | IPC G

Claim 0:
1. A computer-implemented method, comprising:
receiving, by a computer system, video content including a sequence of frames that includes a first frame, the first frame showing an uncovered portion of a body of a person, the uncovered portion being one of a plurality of uncovered body part types that are subject to a compliance evaluation, the uncovered portion comprising an external, uncovered portion of the body of the person;
determining, by the computer system, a plurality of scores, respectively, for frames of the video content;
selecting, by the computer system, the first frame based at least in part on determining that the first frame is associated with a maximum score of the plurality of scores of the frames of the video content;
receiving, by a first machine learning model of the computer system, the first frame of the video content, the first machine learning model trained based at least in part on utilizing a map that indicates a region within the first frame associated with one of the plurality of uncovered body part types;
determining, by the first machine learning model, a first score indicating a first likelihood that the first frame shows at least one of the plurality of uncovered body part types;
receiving, by a second machine learning model of the computer system, the first frame of the video content, the second machine learning model including a neural network architecture;
determining, by the second machine learning model, a second score indicating a second likelihood that the first frame shows at least one of the plurality of uncovered body part types;
merging, by the computer system, the first score and the second score to determine a third score, which is the maximum score; and
determining, by the computer system and based at least in part on the maximum score, that a portion of the video content that includes the first frame will be presented on a display for performing the compliance evaluation based at least in part on the third score.