公开(公告)号：US20230019065A1

公开(公告)日：2023-01-19

申请号：US17949876

申请日：2022-09-21

Applicant: Apple Inc.

Inventor： Hendrik Dahlkamp ,  Vinay Sharma ,  Nitin Gupta ,  Floris Chabert ,  Andrew C. Edwards ,  Mitchell Williams ,  Jonghoon Jin ,  Nicholas M. Fraioli ,  Aravindhan K. Krishnan ,  Patrick L. Coffman

IPC: G06V40/16 ,  G06K9/62 ,  G06T7/11 ,  G06V40/50 ,  G06F21/60 ,  H04L9/08

Abstract: Techniques are disclosed for providing a notification that a person is at a particular location. For example, a resident device may receive from a user device an image that shows a face of a first person, the image being captured by a first camera of the user device. The resident device may also receive, from another device having a second camera, a second image showing a portion of a face of a second person, the second camera having a viewable area showing a particular location. The resident device may determine a score indicating a level of similarity between a first set of characteristics associated with the face of the first person and a second set of characteristics associated with the face of a second person. The resident device may then provide to the user device a notification based on determining the score.

公开(公告)号：US20220100989A1

公开(公告)日：2022-03-31

申请号：US17469630

申请日：2021-09-08

Applicant: Apple Inc.

Inventor： Jingwen Zhu ,  Vinay Sharma ,  Jonghoon Jin ,  Nitin Gupta ,  Floris Chabert ,  Hendrik Dahlkamp ,  Muriel Nahmani

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/03 ,  G06N20/00 ,  G06F21/60

Abstract: Techniques are disclosed for determining the presence of a particular person based on facial characteristics. For example, a device may include a first image in a reference set of images based on determining that a face shown in the first image is not covered by a face covering. A trained model of the device may determine a first set of characteristics from the first image, whereby the trained model is trained utilizing simulated face coverings to match a partially covered face of a particular person with a non-covered face of the particular person. The device may also determine a second set of characteristics associated with a face of a second person based on a second image. The trained model may then determine a score corresponding to a level of similarity between both sets of characteristics, and then determine whether the first person is the second person based on the score.