Abstract: Systems and methods for navigating an autonomous vacuum are disclosed. According to one method, the autonomous vacuum traverses a cleaning environment having a plurality of surfaces. As the autonomous vacuum is traversing the cleaning environment, sensors on the autonomous vacuum capture sensor data describing a first section of a surface on which the autonomous vacuum is currently traversing. Based on the received sensor data, the autonomous vacuum can determine that the first section is of a first surface type of a plurality of surface types. The autonomous vacuum can generate a user interface with a background displaying the determined first surface type to notify the user of where the autonomous vacuum is cleaning.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may clean an environment using a cleaning head that is self-actuated. The cleaning head includes an actuator assembly comprising an actuator configured to control rotation and vertical movement of a cleaning roller, a controller, and a cleaning roller having an elongated cylindrical length connected to the actuator assembly. The cleaning head also includes a computer processor connected to the actuator assembly and a non-transitory computer-readable storage medium that causes the computer processor to map the environment based on sensor data captured by the autonomous vacuum. The computer processor may determine an optimal height for the cleaning head based on the map and instruct the actuator assembly to adjust the height of the cleaning head.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may use a sensor system to map an environment that may be used to determine where to clean. The autonomous vacuum receives visual data about the environment and determines a ground plane of the environment based on the visual data. The autonomous vacuum detects objects within the environment based on the ground plane. For each object, the autonomous vacuum segments a three-dimensional (3D) representation of the object out of the visual data and determines whether the object is static or dynamic. The autonomous vacuum adds static objects to a long-term level of a map of the environment and dynamic objects to an intermediate level of the map. The autonomous vacuum may further add virtual borders, flags, walls, and messes to the map.

Abstract: A computing system obtains a first category for a first motion event. The system sends a first alert indicative of the first category to a user. After sending the first alert, it obtains a second category for a second motion event. In accordance with a determination that the second category is the same as the first category, the system determines whether a third motion event of the first category has been detected in a preceding predetermined amount of time before the second motion event. If the third motion event has not been detected in the preceding predetermined amount of time before the second motion event, the system sends a second alert associated with the second motion event indicative of the first category to the user. If the third motion event has been detected in the preceding predetermined amount of time before the second motion event, the system forgoes sending the second alert.

Abstract: A method at a computing system includes obtaining video of an environment including a plurality of objects; defining a zone including a portion of the environment; subsequent to the defining, detecting a motion event captured in the video occurring at least partially within the zone, wherein the motion event is associated with a first object of the plurality of objects; identifying an object type of the first object; and based on the object type of the first object, causing a notification of the motion event to be issued or not issued.

Abstract: A method at a computing system includes: obtaining video of an environment including a plurality of objects, wherein the video has a field of view; identifying one or more objects of the plurality of objects within the field of view; defining a zone of interest associated with a first object of the one or more objects, including identifying the zone of interest as one of an alerting zone or a suppression zone; subsequent to the defining, detecting one or more motion events captured in the video occurring at least partially within the zone of interest; when the zone of interest is an alerting zone, causing one or more notifications of the one or more motion events to be issued; and when the zone is a suppression zone, suppressing notifications of the one or more motion events.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) receiving a plurality of video frames from a camera, the plurality of video frames including a motion event candidate; (2) categorizing the motion event candidate by processing the plurality of video frames, the categorizing including: (a) associating the motion event candidate with a first category of a plurality of motion event categories; and (b) generating a confidence level for the association of the motion event candidate with the first category; and (3) sending an alert indicative of the first category and the confidence level to a user associated with the camera.

Abstract: Systems and methods are disclosed for gesture-initiated actions in videoconferences. In one implementation, a processing device receives content streams during a communication session, identifies a request for feedback within one of the content streams, based on an identification of the request for feedback, processes the content streams to identify one or more gestures within at least one of the content streams, and based on a determination that a first gesture of the one or more gestures is relatively more prevalent across the content streams than one or more other gestures, initiates an action with respect to the communication session.

Abstract: A method at a computing system includes: obtaining video of an environment including a plurality of objects, wherein the video has a field of view; identifying one or more objects of the plurality of objects within the field of view; defining a zone of interest associated with a first object of the one or more objects, including identifying the zone of interest as one of an alerting zone or a suppression zone; subsequent to the defining, detecting one or more motion events captured in the video occurring at least partially within the zone of interest; when the zone of interest is an alerting zone, causing one or more notifications of the one or more motion events to be issued; and when the zone is a suppression zone, suppressing notifications of the one or more motion events.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) receiving a plurality of video frames from a camera, the plurality of video frames including a motion event candidate; (2) categorizing the motion event candidate by processing the plurality of video frames, the categorizing including: (a) associating the motion event candidate with a first category of a plurality of motion event categories; and (b) generating a confidence level for the association of the motion event candidate with the first category; and (3) sending an alert indicative of the first category and the confidence level to a user associated with the camera.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) obtaining a first category for a first motion event, the first motion event corresponding to a first plurality of video frames; (2) sending a first alert indicative of the first category to a user; (3) after sending the first alert, obtaining a second category for a second motion event corresponding to a second plurality of video frames; (4) in accordance with a determination that the second category is the same as the first category, determining whether a predetermined amount of time has elapsed since the sending of the first alert; (5) if the predetermined amount of time has elapsed, sending a second alert indicative of the second category to the user; and (6) if the predetermined amount of time has not elapsed, forgoing sending the second alert.

Abstract: Systems and methods are disclosed for gesture-initiated actions in videoconferences. In one implementation, a processing device receives one or more content streams as part of a communication session. The processing device identifies, within the one or more content streams, a request for feedback. The processing device processes, based on an identification of a request for feedback within the one of the plurality of content streams, the one or more content streams to identify a presence of one or more gestures within at least one of the one or more content streams. The processing device initiates, based on an identification of the presence of one or more gestures within at least one of the one or more content streams, an action with respect to the communication session.

Abstract: A system and method that includes detecting an application change within a multi-application operating framework; updating an application hierarchy model for gesture-to-action responses with the detected application change; detecting a gesture; according to the hierarchy model, mapping the detected gesture to an action of an application; and triggering the action.