Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to monitor a community. The drone may include a processor and a storage device storing instructions that, when executed by the processor, cause the one or more processors to perform operations. The operations may include receiving an instruction to deploy based on a determination, by a community monitoring system that an event was detected at a property of the community, navigating towards the property along an initial navigation path, obtaining local monitoring system data from a local monitoring system of a property of the community, generating based on the local monitoring system data a navigational model that identifies a location of each of one or more surveillance objectives, determining an adjusted navigation path to a location of a surveillance objective of the one or more surveillance objectives, and navigating along the adjusted navigation path.

A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a passive infrared (PIR) sensor configured to generate reference PIR data that represents motion within an area of the property; an auxiliary sensor configured to generate auxiliary sensor data that represents an attribute of the area of the property; and a motion sensor device. The motion sensor device is configured to: obtain the reference PIR data; determine that a first set of motion detection criteria is satisfied by the reference PIR data; in response to determining that the first set of motion detection criteria is satisfied by the reference PIR data, obtain the auxiliary sensor data; obtain a second set of motion detection criteria based on the reference PIR data and the auxiliary sensor data; and determine whether the second set of motion detection criteria is satisfied by additional PIR data.

The present application describes a system and method for extending a range of an image detection and classification system that is associated with various image capture devices. The range of the image detection and classification system is extended using one or more of an optical zoom on an area of interest, a digital zoom on the area of interest and a crop operation on the area of interest.

The present application describes a system and method for mitigating false alarms caused by repeated and/or sporadic movement of objects in a field of view of an image capture device.

The present application describes a video processing request system that receives video files and synchronous task requests, converts the synchronous task requests into asynchronous task requests, provides the video files to various processing units in response to the conversion, and subsequently provides processed video files back to requesting computing devices in response to the received synchronous task requests.

Method for monitoring for presence in a surveillance zone (ZS) using a surveillance system (SY), comprising the following steps: detecting an absence of movement or of at least one movement of at least one entity (E1, E2, En) in a detection zone (ZD); creating and/or modifying, in a memory of the surveillance device (Dl), a piece of movement information (IM); sending the movement information (IM) using the surveillance device (Dl) to a processing unit (UT) of the surveillance system (SY); detecting an absence or a presence of at least one terminal (T1, T2, T3, Tn) in a communication network (RI); creating and/or modifying, in a memory of a listening module (ME), a piece of presence information (IP); and sending the piece of presence information (IP), using the listening module (ME), to the processing unit (UT).

An audio/video (A/V) recording and communication device includes a camera. A method sets a first operational mode for the A/V device. The method determines whether a registered user of the A/V device is within a predetermined proximity of the A/V device. Upon determining that the registered user of the A/V device is not within the predetermined proximity of the A/V device, the method sets a second operational mode for the A/V device.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to monitor a community. The drone may include a processor and a storage device storing instructions that, when executed by the processor, cause the one or more processors to perform operations. The operations may include receiving an instruction to deploy based on a determination, by a community monitoring system that an event was detected at a property of the community, navigating towards the property along an initial navigation path, obtaining local monitoring system data from a local monitoring system of a property of the community, generating based on the local monitoring system data a navigational model that identifies a location of each of one or more surveillance objectives, determining an adjusted navigation path to a location of a surveillance objective of the one or more surveillance objectives, and navigating along the adjusted navigation path.

The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

An electronic device with a display, processor(s), and memory displays a video monitoring user interface. The interface includes a video window displaying video feed from a camera located remotely from the device. A subset of the video includes a first motion event associated with an event category and a second motion event not associated with the event category. The device detects a user request for video playback. In response to the request, the device identifies a segment of the video for playback. The segment includes a first portion associated with the first motion event and a second portion associated with the second motion event. The device causes generation of a time-lapse video clip of the segment of the video for playback, including configuring the first portion to play at a different speed from the second portion. The device displays and plays the video clip of the segment.