A method of operating a data processing apparatus is provided. The method includes receiving video data; receiving a virtual test signal representative of a location of a virtual object; setting data representing the horizontal and vertical size of the virtual object dependent upon the location of the virtual object; overlaying the received video data with an image of the virtual object at locations determined from the virtual test signal to generate virtual test video data; and analyzing the virtual test video data and generating an alarm signal based on an output signal generated by said analysis.

Methods are disclosed that, in some aspects, provide for the determination of alarm events or non-alarm events based on data received from various sensors monitoring one or more entry points of a premises. Non-alarm events may, for example, include a seismic event or a knock event. Determining whether the data received from the various sensors is an alarm or non-alarm event may be based on data received from two or more sensors monitoring two or more entry points of the premises. Further, data related to the non-alarm event that occurred at the premise may be compared to data related to non-alarm events that occurred at other premises and, based on the comparison, one or more authorities may be alerted to the non-alarm event.

A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.

Several methods and a system of automated motion disturbance detection and alerting are disclosed. In one embodiment, a method includes associating a protection device with a movable tangible personal property. The method also includes activating the protection device remotely. The method further includes detecting, through a sensor in the protection device, a motion disturbance of the movable tangible personal property. The method further includes automatically responding based on a set of user-specified preferences when an intensity of the motion disturbance exceeds a minimum threshold of a sensitivity associated with the protection device. The method furthermore includes relaying a confirmed motion disturbance of the movable tangible persona property to a user of the protection device. The method furthermore includes protecting the movable tangible personal property through the automatic response of the protection device. The protection device includes a sensor to detect a motion disturbance associated with a movable tangible personal property.

The present invention relates to a system for detecting and communicating the position of a pusher assembly on a shelf. In an embodiment, a system includes a control module, a pusher assembly, and a laser scanner. The laser scanner is configured to transmit a swept beam to a mirrored reflective surface located behind the pusher assembly. The control module analyzes the laser beam at the laser scanner to detect the position of the pusher assembly on the shelf. In another embodiment, a system includes a control module, a pusher assembly, and an infrared transceiver that sends and receives infrared signals. The transceiver may be located behind the pusher assembly. The control module analyzes the infrared signals to determine the position of the pusher assembly on the shelf.

An object monitoring method and device are provided. The object monitoring method includes: a sound production reason for the target sound is determined when a target sound exists in acquired sounds; and sound production information is pushed to a mobile terminal, the sound production information comprising the sound production reason.

Methods, systems, and apparatus, including computer programs encoded on storage devices, for monitoring, security, and surveillance of a property. In one aspect, a system includes a virtual reality headset, a plurality of cameras, a plurality of sensors that includes a first sensor, a control unit, wherein the control unit includes a network interface, a processor, a storage device that includes instructions to perform operations that comprise receiving data from the first sensor that is indicative of an alarm event, determining a location of the first sensor, identifying a set of one or more cameras from the plurality of cameras that are associated with the first sensor, selecting a particular camera from the identified set of one or more cameras; and transmitting one or more instructions to the particular camera that command the particular camera to stream a live video feed to a user interface of the virtual reality headset.

A networked system for managing a physical intrusion detection/alarm includes a network of end nodes, e.g., sensor nodes including one or more constrained sensor nodes for sensing physical conditions, and a gateway to provide network connections for the constrained sensor nodes. The system also includes a range extender for connecting the one or more constrained sensor nodes to the gateway, with the range extender including first and second radios and corresponding processors to wirelessly communicate with the gateway and constrained nodes.

An auditable security system for preventing unlawful diversion of goods and/or services is provided. The security system includes a secure enclosure, an access control system that generates audit data, cameras proximal to the access control system, cameras located in the secure enclosure, a video management system that manages the cameras and generates video data, an exterior computing system configured to allow users to interface with the access control system, the video management system and data stored by the systems, and a database configured for storing data stored by the access control system and the video management system. When a user interacts with the access control system, the cameras begin generating audio and video data, which is stored, along with audit data, in the connected database. The audit data and video data is also provided to a third-party system for processing.

The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: obtaining images collected by video cameras in a smart home environment, each image including a detected person; for each image, obtaining first information that identifies an attribute of the detected person, the first information generated from analysis of the image; grouping the images into a first group of a plurality of groups based on the first information, each group of the plurality of groups representing a unique person; receiving a request to remove a first image from the first group; removing the first image from the first group; and disassociating the first information from the first group.