Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Described herein are methods and systems for providing an integrated system for sensor monitoring and mapping in a translated coordinate system. One general aspect can include translating a digital map of a geographical region in a global positioning coordinate system to a translated coordinate system, where the geographical region includes a physical building. The method can also include generating digital interior maps of the physical building in the translated coordinate system and including on the maps control elements associated with devices physically located within the geographical region. The method can also include receiving, from a sensor data interceptor, sensor data from the devices. The method can also include providing a graphical user interface for viewing the digital maps and the sensor data associated with the physical devices on the map to provide a holistic view of the geographical region, including the exterior and interior of the physical building.

The threat detection system described here includes a plurality of nodes that may each have a differently configured set of sensors for observing the area in the vicinity of each node. The nodes provide this information to a command center and/or Internet services so that operators can ascertain the threats in an area being monitored by the plurality of nodes. Threat analytics are performed on the information provided by the sensors in the nodes to further aid the operators' understanding of the threats in the area.

Some aspects of the present embodiments provide a method for setting an audio/video (A/V) recording and communication device in a parcel protection mode. The method receives, form the A/V recording and communication device, a notification about a parcel being placed within an area about the A/V recording and communication device. The method receives a request for activating the parcel protection mode. Upon receiving the request, the method sends an activation signal to the A/V recording and communication device to set the A/V recording and communication device in the parcel protection mode.

An electronic apparatus for communicating with a camera, and a method thereof are disclosed. The electronic apparatus includes a display, a transceiver, and a processor to, based on receiving an image captured by a camera, control the display to display the captured image, identify an object from the displayed image, determine another camera which captures the object, match information on the other camera with information on the camera, store the information, based on receiving a user command to set a specific object as a tracking target, determine a camera which captures the specific object, based on the specific object disappearing from an image captured by the camera, as the specific object moves, determine another camera which is expected to capture the specific object based on the camera matching information, and track the specific object based on an image captured by the other camera.

A system and method for dynamically ordering video streams on display in a command and control system according to video content, including obtaining a plurality of video streams captured by a plurality of respective video cameras; extracting features from the plurality of video streams; calculating abnormality scores for the extracted features, wherein each abnormality score measures a likelihood that a corresponding feature is an abnormal feature; calculating a current rank for ordering each of the plurality of video streams based on current and past abnormality scores of the features extracted from the video stream; and displaying a subgroup of the plurality of video streams having the highest subset of current ranks based on abnormality scores.

A surveillance system monitors a predetermined environment based on received data. The surveillance system includes a first intelligent appliance configured to capture video and/or still images and configured to be in wireless communication with a second intelligent appliance that operates based on data from the first intelligent appliance. The surveillance system can detect a person located within the predetermined environment and can track the person's movement. The surveillance system is configured to allow remote viewing of data and/or controlling cameras.

A surveillance system for detecting an object within a monitored infrastructure and to a hybrid 3D surveying device, wherein a LiDAR device is configured that scanning is carried out with respect to two essentially orthogonal axes and wherein the LiDAR device comprises a cover mounted on the base, such that the base and the cover form an enclosure that encloses all moving parts of the LiDAR device, wherein the cover is configured to be opaque for visible light and translucent for the wavelength range of the LiDAR transmission radiation. The system further comprises a computing unit configured for processing the LiDAR measurement data to generate a 3D point cloud of the monitored infrastructure, and an object detector configured for classification of the object based on the 3D point cloud.

A mesh network-based environmental data capture system and method for providing communication between a base system having at least one wireless input capture device ICD(s) and other ICD(s), wherein the ICD(s) are capable of smart cross-communication with each other and remote access to their inputs via a server computer, including the steps of providing this base system; at least one user accessing the ICDs and inputs remotely via a user interface through a remote server computer and/or electronic device communicating with it, for providing a secure surveillance system with extended inputs range and wireless smart cross-communication for monitoring a target environment.

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.