An outdoor camera integrated into an alarm system for property monitoring, configured to monitor a property. The alarm system can have a base station that communicates with all the components of the alarm system, such as an outdoor camera, which can be equipped with an imaging sensor and software capabilities to conduct analysis on data collected by the outdoor camera to determine information about a human or non-human visitor at the property. The outdoor camera provides information about detected events at the property to the base station, where the data can be used to take appropriate action at the property and communicate with either the user or a monitoring service.

Devices, systems and methods for controlling cameras, by processing recorded image frames to record head orientations corresponding to head objects identified for individuals in image frames over a first duration of time, and controlling an orientation of one camera to move to a field of view corresponding to the new direction. In alternate embodiments, the system may conduct further detection processes and generate further stage alerts thereby increasing the system confidence in the new camera direction.

Methods, systems and computer program products, for processing a stream of image frames captured by a camera system. A hardcoded alert image frame is generated in response to detecting an event. The hardcoded alert image frame includes motion deltas and/or color changes with respect to an event image frame. A stream of encoded image frames is generated, in which stream the hardcoded alert image frame is inserted in display order after the encoded event image frame.

The various embodiments described herein include methods, devices, and systems for categorizing motion events. In one aspect, a method is performed at a camera device. The method includes: (1) capturing a plurality of video frames via the image sensor, the plurality of video frames corresponding to a scene in a field of view of the camera; (2) sending the video frames to the remote server system in real-time; (3) while sending the video frames to the remote server system in real-time: (a) determining that motion has occurred within the scene; (b) in response to determining that motion has occurred within the scene, characterizing the motion as a motion event; and (c) generating motion event metadata for the motion event; and (4) sending the generated motion event metadata to the remote server system concurrently with the video frames.

Provided is an apparatus including a receiving unit for receiving an image captured by a monitoring camera; a determination unit for determining, based on the image that was received, the presence or absence of an occurrence of an event that interferes with monitoring by means of the monitoring camera; and a notification unit for notifying an administrator of the monitoring camera that the presence of the occurrence of the event has been determined, in response to the determination.

Techniques for video analytics of captured video content are described. An apparatus may comprise a flash memory, a serial bus, and a processor circuit coupled to the flash memory and the serial bus. The processor circuit may comprise a multi-core central processing unit (CPU) and an integrated graphics processing unit (GPU). The processor circuit may receive captured video content via a local communication link, perform video analytics on the captured video content; and send data associated with the performed video analytics to a network interface, for communication to a remote device via a network communication link. Other examples are described and claimed.

Methods, systems, and apparatus for nanosatellite-based property monitoring are disclosed. A method includes receiving satellite data related to conditions of a property monitored by a monitoring system; determining, based on the satellite data, that the property is at risk from a threat; requesting, from a sensor of the monitoring system, sensor data related to the threat; receiving, from the sensor, the sensor data related to the threat; and based on analyzing the sensor data related to the threat, performing one or more monitoring system actions. The threat may include one of a weather hazard, a security hazard, or a property damage hazard. The monitoring system actions can include sending an instruction to adjust a sensor or component of the monitoring system and can include sending, to a user device, a notification that the property is at risk from the threat.

The various embodiments described herein include methods, devices, and systems for categorizing motion events. In one aspect, a method is performed at a camera device. The method includes: (1) capturing a plurality of video frames via the image sensor, the plurality of video frames corresponding to a scene in a field of view of the camera; (2) sending the video frames to the remote server system in real-time; (3) while sending the video frames to the remote server system in real-time: (a) determining that motion has occurred within the scene; (b) in response to determining that motion has occurred within the scene, characterizing the motion as a motion event; and (c) generating motion event metadata for the motion event; and (4) sending the generated motion event metadata to the remote server system concurrently with the video frames.

A surveillance system and method with at least one wireless input capture device ICD(s) and a corresponding digital input recorder (DIR) and/or another ICD, including the steps of providing the base system; at least one user accessing the DIR via user interface either directly or remotely; the DIR and/or ICD searching for signal from the ICD(s) and establishing communication with them, and the system providing for input capture and data transmission prioritization, thereby providing a secure surveillance system having wireless communication for monitoring a target environment with prioritization capabilities.

Using sensor hubs for tracking an object. One system includes a first sensor hub and a second sensor hub. The first sensor hub includes a first audio sensor and a first electronic processor. In response to determining that one or more words captured by the first audio sensor is included in the list of trigger words, the first electronic processor generates a first voice signature of a voice of an unidentified person, generates a tracking profile, and transmits the tracking profile to the second sensor hub. The second sensor hub receives the tracking profile and includes a second electronic processor, a second audio sensor, and a camera. In response to determining that a second voice signature matches the first voice signature, the second electronic processor is configured to determine a visual characteristic of the unidentified person based on an image from the camera and update the tracking profile.