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 surveillance system including a fixed camera and one or more temporary cameras and a control means coupled to the fixed camera and the one or more temporary cameras is disclosed. The control means is configured to extend coverage of the fixed camera using the one or more temporary cameras coupled to the fixed camera. Each of the one or more temporary cameras includes one or more sensors and is configured to be deployed and adjusted based on sensor data obtained from the one or more sensors of the one or more temporary cameras and from one or more fixed camera sensors co-located with the fixed camera.

A building access system for a building including a front facing camera system configured to capture one or more images of a face of a user, wherein one or more front facing camera processing circuits configured to detect and authenticate the user based on the one or more images captured by the front facing camera system and operate building equipment. The system further including a down facing camera system configured to capture one or more overhead images of the user from an overhead perspective, wherein one or more down facing camera processing circuits configured to detect whether a second user is tailgating the user based on the one or more overhead images captured by the down facing camera system and generate an alarm in response to a detection that the second user is tailgating the user.

Provided is a monitoring system and a method of controlling a panning-tilt zoom (PTZ) camera by using a fisheye camera when the fisheye camera and the PTZ camera are adjacently installed. The method includes selecting a region of interest (ROI) in an entire surveillance-target area image captured by the fisheye camera and adjusting a panning angle P and a tilting angle T of the PTZ camera to acquire an accurate image of the selected ROI.

The present disclosure provides a target object identification system including a first image acquisition apparatus, a second image acquisition apparatus, and a processor. The first image acquisition apparatus may acquire an image of a first target region. The second image acquisition apparatus may synchronously acquire an image of a second target region. The second target region includes part or all of the first target region. The resolution of the first image acquisition apparatus is higher than that of the second image acquisition apparatus, and the field of view of the second image acquisition apparatus is greater than that of the first image acquisition apparatus. The processor may identify each first target object according to the image of the first target region, and identify each second target object according to the image of the second target region, and may determine association relationship between each first target object in the image of the first target region and each second target object in the synchronously acquired image of the second target region.

Disclosed is a video patrol method and apparatus. The number of alarm messages for each capture device is stored in a database. According to the number of alarm messages for each capture device, the weight corresponding to each capture device is determined. The greater the number of alarm messages for a capture device is, the greater the weight corresponding to the capture device is. The play duration corresponding to each capture device is determined according to the weights. The greater the weight corresponding to a capture device is, the longer the duration for the capture device is. The play time period for each capture device is determined according to the determined play durations. The management device controls the video wall to perform video patrol according to the determined play time period for each capture device.

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 a computer storage medium, for receiving mission specific data. Converting the mission specific data into attribute classes recognizable by image recognition classifiers, where the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images. Obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene. Detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes. In response to detecting the object that corresponds to one of the attribute classes, providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and providing the high resolution images to a high resolution image classifier. Obtaining, from the high resolution image classifier, a confirmation of the detected object from the low resolution images. In response to obtaining the confirmation, providing, for presentation to the user by the presentation system, a second alert indicating confirmation that the object has been detected.

Audio/video (A/V) recording and communication devices with multiple cameras in accordance with various embodiments of the present disclosure are provided. In one embodiment, an A/V recording and communication device is provided, the device comprising a first camera having a first resolution; a second camera having a second resolution, wherein the second resolution is higher than the first resolution; a communication module; and a processing module operatively connected to the first camera, the second camera, and the communication module, the processing module comprising: a processor; and a camera application, wherein the camera application configures the processor to: maintain the first camera in a powered-on state; maintain the second camera in a low-power or powered-off state; and determine when to power up the second camera based on an output signal from the first camera.

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.