A method, system, server and device are disclosed. According to one or more embodiments, a server is provided. A first audio track is received which includes first audio originating from a premises client at a premises location. A second audio track is received which includes second audio originating from a remote client. A first pan angle is determined for the first audio track and a second pan angle is determined for the second audio track. The second pan angle is different from the first pan angle. A stereo composite track is generated based on the first pan angle and the second pan angle, where the stereo composite track includes the first audio track and the second audio track.

An intruder location-based dynamic virtual fence configuration and a multiple image sensor device operation method are provided. A method of detecting an intruder based on a virtual fence includes detecting an intruder invading a virtual fence set in a protection area by using a first image sensor device, and tracking the intruder through cooperation with second image sensor devices adjacent to the first image sensor device, based on information of the intruder.

The disclosure relates improving correctional officer safety. A system can include a first camera facing a region of a correctional facility including monitored objects, the first camera configured to generate first pixel data including first pixels corresponding to the objects, a second camera in the correctional facility and facing away from the region, the second camera configured to generate second pixel data including second pixels corresponding to a person that approaches the region, and a server configured to receive the first and second pixel data through a network connection, transmit the received data to a recognition service through the network, and receive an alert from the alert service that indicates a monitoring rule associated with an object of the objects is violated, an identification associated with the person, a last known location of the person or the object, and an indication of the monitoring rule violated.

Described herein are systems and methods for generating a watch list of users who pose specific security threats to a store. The method can include retrieving, by a computer system from a data store, case files that document activity that poses a security threat by a user at the store, predicting, based on applying prediction models to the case files, future activity associated with the case files, determining threat scores for the case files based on the predicted future activity, ranking the case files into a candidate list from highest to lowest threat score, generating a watch list for the store that includes a subset of the ranked case files based on which case files pose a greatest current threat to the store, generating summary videos for each case file in the watch list, and transmitting the watch list and summary videos to a user device.

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. In some embodiments, the video camera is at least one of a traffic camera or an aerial drone camera. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication device data.

A gateway of a surveillance system, the gateway includes: a communication module configured to communicate with a plurality of network cameras including a first network camera and a second network camera; and a processor configured to recognize a motion of a subject based on event information transmitted by the first network camera and to transmit subject information generated based on the motion of the subject to the second network camera.

This application is directed to systems and techniques for configuring audio/video devices in a geographical area. For instance, a graphical user interface (GUI) may include a representation of the area as well as representations of devices installed in the area. Using the GUI, a user may associate devices to copy device settings and/or preferences from one device to another. For example, a newly-installed device can be provisioned and/or configured using data from another, previously-installed device.

A system, device, and method for camera placement based on access tier attributes is disclosed. The method includes correlating, by an at least one electronic processor, a geographical location and existing tiered camera deployments with electronically stored indications of crime rates across a geographic area associated with a security agency. The method also includes generating, by the at least one electronic processor, at least one new proposed security camera deployment at at least a first proposed location in the geographic area associated with the security agency having a proposed tier selected from one of a plurality of tiers determined as a function of the correlating.

A first camera and a second camera are installed in a facility. An analyzing apparatus detects the same person from a first captured image generated by the first camera and a second captured image generated by the second camera. The analyzing apparatus computes a movement time which is required for the detected person to move between a captured area of the first camera and a captured area of the second camera. The analyzing apparatus determines an attributed of the person using at least one of the first captured image and the second captured image. The analyzing apparatus acquires a reference value corresponding to the determined attribute, compares the computed movement time with the acquired reference value, and outputs output information based on a result of the comparison.

This disclosure describes, in part, an audio/video (A/V) device that includes a first camera for generating first image data and one or more second cameras for both motion detection and generating second image data. For instance, the A/V device may generate and then store the second image data in one or more buffers. The A/V device may then detect an event, such as possible motion of an object. Based on detecting the event, A/V device may cause the one or more second cameras to cease generating the second image data and cause the first camera to begin generating the first image data. The A/V device may then process the second image data and send the processed second image data to a computing system. Next, the A/V device may process the first image data and send the processed first image data to the computing system.