ACTIVITY ZONES FOR CAMERA VIDEO
    11.
    发明申请

    公开(公告)号:US20210383554A1

    公开(公告)日:2021-12-09

    申请号:US17199166

    申请日:2021-03-11

    Applicant: Apple Inc.

    Abstract: Methods and systems are provided for establishing an activity zone within video captured by a camera. A user device may establish an activity zone or an exclusion zone within video representing a physical view captured by the camera. An automatic monitoring system may analyze the video of the camera with respect to the activity zone or exclusion zone and trigger notifications that are associated with a zone so as to limit notifications transmitted to the user device to those notifications that are relevant to the user. With activity or exclusion zones video from a camera may be automatically monitored to reduce a volume of notifications transmitted to the user device.

    Identity recognition utilizing face-associated body characteristics

    公开(公告)号:US12154386B2

    公开(公告)日:2024-11-26

    申请号:US17743416

    申请日:2022-05-12

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for providing a notification indicating an identity of a first person based on face-associated body characteristics. For example, a device performs facial recognition to identify the identity of the first person shown in a first video feed. The device also identifies and stores physical characteristic information of the first person from the first video feed, the stored information associated with the identity of the first person based on the recognized face. Subsequently, the device receives a second video feed showing a second person whose face is determined to not be recognized by the device. The device compares the stored physical characteristic information of the first person with additional physical characteristic information of the second person shown in the second video feed. Based on the comparison, the device provides a notification indicating whether the identity of the second person corresponds to the identity of the first person.

    DROP-IN ON COMPUTING DEVICES BASED ON EVENT DETECTIONS

    公开(公告)号:US20230394953A1

    公开(公告)日:2023-12-07

    申请号:US18138652

    申请日:2023-04-24

    Applicant: Apple Inc.

    CPC classification number: G08B25/009

    Abstract: Techniques for monitoring an audio stream for triggering events are disclosed, where the triggering events may include a particular sound identified in the audio stream. In addition, the techniques include detecting the particular sound in the audio stream and/or providing an event notification to a user device via a network connection. A user device can request permission to initiate a two-way audio stream between the computing device and the user device. Further, the techniques may include receiving an indication to initiate the two-way audio stream with the user device. In addition, the techniques may include providing an alert that permission has been granted to initiate the two-way audio stream. Also, the device may include initiating the two-way audio stream with the user device.

    IDENTIFYING PARTIALLY COVERED OBJECTS UTILIZING MACHINE LEARNING

    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.

    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.

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