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.

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.

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.

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.

Abstract: Systems, computer-readable media, methods, and approaches described herein may identify delivery and/or pickup of packages. For example, packages may be identified within the areas captured by images and/or video. Based on the identification of the packages, it may be determined whether the package was delivered or picked up. A notification may be initiated that indicates that a package has been delivered and/or picked up.

Abstract: 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.

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.

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.

Abstract: Systems, computer-readable media, methods, and approaches described herein may identify delivery and/or pickup of packages. For example, packages may be identified within the areas captured by images and/or video. Based on the identification of the packages, it may be determined whether the package was delivered or picked up. A notification may be initiated that indicates that a package has been delivered and/or picked up.

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.

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.

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.

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.

Abstract: In general, embodiments of the invention relate to a monitoring system used for securing an environment being monitored by the monitoring system. More specifically, one or more embodiments of the invention include a monitoring system that performs methods for detecting an incident occurring in the monitored environment.

Abstract: Aspects of the present disclosure relate generally to generating elevation maps. More specifically, data points may be collected by a laser moving along a roadway and used to generate an elevation map of the roadway. The collected data points may be projected onto a two dimensional or “2D” grid. The grid may include a plurality of cells, each cell of the grid representing a geolocated second of the roadway. The data points of each cell may be evaluated to identify an elevation for the particular cell. For example, the data points in a particular cell may be filtered in various ways including occlusion, interpolation from neighboring cells, etc. The minimum value of the remaining data points within each cell may then be used as the elevation for the particular cell, and the elevation of a plurality of cells may be used to generate an elevation map of the roadway.

Abstract: In general, embodiments of the invention relate to a monitoring system used for securing an environment being monitored by the monitoring system. More specifically, one or more embodiments of the invention include a monitoring system that performs methods for detecting an incident occurring in the monitored environment.

Abstract: A method for natural language-based interaction with a vision-based monitoring system. The method includes obtaining a request input from a user, by the vision-based monitoring system. The request input is directed to an object detected by a classifier of the vision-based monitoring system. The method further includes obtaining an identifier associated with the request input, identifying a site of the vision-based monitoring system from a plurality of sites, based on the identifier, generating a database query, based on the request input and the identified site, and obtaining, from a monitoring system database, video frames that relate to the database query. The video frames include the detected object. The method also includes providing the video frames to the user.

Abstract: In general, embodiments of the invention relate to a method for capturing video frames. The method includes obtaining a depth-data frame of an environment using a depth-sensing camera and an infrared illuminator, where the environment is illuminated by an illumination pattern emitted by the infrared illuminator, obtaining, an infrared illuminator parameterization for the illumination pattern emitted by the infrared illuminator, obtaining a desired frame exposure time, based on a desired frame exposure, determining, based on the infrared illuminator parameterization and the desired frame exposure time, an actual frame exposure time, and after determining the actual frame exposure time, obtaining a frame of the environment using the actual frame exposure time using the infrared illuminator with the illumination pattern.

Abstract: With the advent of touch-free interfaces such as described in the present disclosure, it is no longer necessary for computer interfaces to be in predefined locations (e.g., desktops) or configuration (e.g., rectangular keyboard). The present invention makes use of touch-free interfaces to encourage users to interface with a computer in an ergonomically sound manner. Among other things, the present invention implements a system for localizing human body parts such as hands, arms, shoulders, or even the fully body, with a processing device such as a computer along with a computer display to provide visual feedback on the display that encourages a user to maintain an ergonomically preferred position with ergonomically preferred motions. For example, the present invention encourages a user to maintain his motions within an ergonomically preferred range without have to reach out excessively or repetitively.

Abstract: A method for analyzing a video captured by a security system. The method includes obtaining a video of a monitored environment and detecting an occurrence of an event in the video of the monitored environment. Detecting the occurrence of the event includes identifying the presence of a foreground object in the video of the monitored environment and classifying the foreground object. The method further includes tagging the occurrence of the event in the video with the foreground object classification and generating an event history video from the video of the monitored environment, including resampling the video of the monitored environment, the resampling including applying a first event-specific frame drop rate to segments of the video of the monitored environment that include the foreground object, based on the tagging, and applying at least one other frame drop rate to other segments of the video of the monitored environment.