A method and apparatus for storing video data includes three or more cameras and a storage space. The storage space is partitioned into an initial set of allotted portions for storing video data captured by the video cameras. A video quality value is set for encoding video by each camera, and it is periodically determined whether maintaining the video quality value would cause the camera to exceed the allotted portion of storage space. If it is determined that the amount of video data for a camera exceeds its allotment of space, the video quality is reduced. If it is determined that the video quality from a camera falls below a quality threshold, the storage space is re-partitioned into which increased storage space is allotted to the camera having a video quality that falls below the threshold value, and decreased storage space is allotted to at least one other camera.

A television based alarm system provides video streams from multiple cameras produced at a first location that is transmitted via a radio transmitter to a secondary location. Motion detector signals from a plurality of motion detectors at the first location are utilized to indicate when and which cameras are likely to see an intruder based on when and which motion detectors are tripped. In a first type of encoder/decoder, motion detectors are connected to LEDS for encoding and then decoded utilizing photo electric cells. In another encoder/decoder, motion detector signals are used to produce a digital word that is added to the video signal and then decoded as a digital word. An output device such as a printer can be used to print the motion detector number, date, and time print out and sound an alarm.

A method and an apparatus for capturing a target object and a video monitoring device are disclosed. The method includes: detecting target objects in a current panoramic video frame acquired by a panoramic camera; determining detail camera position information corresponding to each of the target objects, and determining a magnification corresponding to the target objects; performing block processing on the target objects to obtain at least one target block; for each target block, identifying first target objects, at edge positions, among target objects included in the target block, and determining, based on the first target objects, the detail camera position information and the magnification corresponding to the target block; for each target block, controlling the detail camera to adjust its position and magnification based on the detail camera position information and the magnification corresponding to the target block, and controlling the adjusted detail camera to capture the target block.

An apparatus comprising a first detection device, a second detection device and a processing circuit. The first detection device may be configured to generate a first signal in response to a first type of input. The second detection device may be configured to generate a second signal in response to a second type of input. The processing circuit may be configured to (i) determine whether the first signal is a known type of signal, (ii) determine whether the second signal is a known type of signal and (iii) generate a warning signal in response to the first signal and the second signal.

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 first camera sends a first detection notification to a master device when detecting a person in a first imaging area, and starts transmission of a captured video of the first imaging area to the master device by shifting an operation mode from a sleep mode to a standby mode. The master device notifies a camera other than the first camera of a shift instruction to the standby mode in accordance with the first detection notification. The other camera shifts the operation mode from the sleep mode to the standby mode in accordance with the shift instruction to the standby mode, and starts buffering of a captured video of a second imaging area, and when detecting the person in the second imaging area in the standby mode, the other camera sends a second detection notification of the person to the master device, and starts transmission of the captured video of the second imaging area buffered before a first predetermined time period after a point of time at which the person is detected in the second imaging area, to the master device.

Security guards at big facilities, such as airports, monitor multiple screens that display images from individual surveillance cameras dispersed throughout the facility. If a guard zooms with a particular camera, he will lose image resolution, along with perspective on the surrounding area. Embodiments of the inventive Imaging System for Immersive Surveillance (ISIS) solve these problems by combining multiple cameras in one device. When properly mounted, example ISIS systems offer 360-degree, 100-megapixel views on a single screen. (Other resolutions may also be employed.) Image-stitching software merges multiple video feeds into one scene. The system also allows operators to tag and follow targets, and can monitor restricted areas and sound an alert when intruders breach them.

An object recognition enabled, for example facial recognition enabled, video surveillance system for capturing video of a scene and allowing recognition of objects within that scene. The system comprises at least one camera apparatus connected via a communication channel to a central server with the camera apparatus arranged for capturing visual representation data of a scene. The visual representation data comprises video of the scene and the camera apparatus comprises a camera for capturing said video and a video encoder for sending corresponding video data via the communication channel to the central server. The camera apparatus is further arranged for generating object recognition data based on said visual representation data, and the video encoder is arranged to send said object recognition data along with the video data via the communication channel.

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.

Audio/video (A/V) recording and communication devices in network communication with additional cameras in accordance with various embodiments of the present disclosure are provided. In one embodiment, an audio/video (A/V) recording and communication device is provided comprising: a first camera configured to capture image data at a first resolution; a communication module; and a processing module operatively connected to the first camera and the communication module, wherein the processing module is in network communication with a backend server, the processing module comprising: a processor; and a camera application that configures the processor to: maintain the first camera in a low-power state; receive a power-up command signal from the backend server based on an output signal from a second camera; power up the first camera in response to the power-up command signal; and capture image data using the first camera in response to the power-up command signal.