Apple Inc.

Jonghoon Jin

Hendrik Dahlkamp

Vinay Sharma

Nitin Gupta

Andrew C Edwards

Floris Chabert

Patrick L Coffman

Nicholas M Fraioli

Mitchell Williams

Aravindhan K Krishnan

Jingwen Zhu

Alexander William Teichman

Jessica Gilmartin

Yah Yah Cason

Nils Ängquist

Tomas Alberto Meraz Scherb

Tiffany Kryze

Sara Bolouki

Techniques are disclosed for determining whether to include a bodyprint in a cluster of bodyprints associated with a recognized person. For example, a device performs facial recognition to identify the identity of a first person. The device also identifies and stores physical characteristic information of the first person, 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 an image of a second person whose face is also determined to be recognized by the device. The device then generates a quality score for physical characteristics in the image of the user. The device can then add the image with the physical characteristics to a cluster of images associated with the person if the quality score is above a threshold, or discard the image if not.

Identity recognition utilizing face-associated body characteristics

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.

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.

Identifying objects within images from different sources

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.

Activity zones for camera video

A method for enabling communicating between users, using a vision-based monitoring system. The method includes monitoring an environment for events, by the vision-based monitoring system and making a determination that a detected event involves a local person, in the monitored environment. The method further includes, based on the determination, identifying at least one remote person to be contacted, identifying a communication channel to the at least one remote person, and providing a notification to the at least one remote person, via the identified communication channel.

Two-way communication interface for vision-based monitoring system

Growing community of inventors

Stanford, CA, United States of America

Jonghoon Jin