The present disclosure relates to an augmented reality system including one or more of a building, sensor(s), a gateway, a server, and a monitoring computer. The augmented reality system may further includes drones that capture video or other images of the building. The monitoring computer gathers information from the sensor(s) and/or drones and facilitates the creation of an augmented view of the building to provide intelligence to emergency responders.

Techniques are described for detecting and handling unauthenticated commands in a property monitoring system. In some implementations, a monitoring system may include sensors located throughout a property, a monitoring control unit, and an input device. The monitoring control unit may be configured to receive data collected by the sensors, as well as an input command detected by the input device. For an input command that does not include authentication information, the monitoring control unit may generate property state information based on the sensor data, then analyze the property state data and the input command against one or more rules that relate to authorization of unauthenticated commands. Based on the analysis, the monitoring control unit may determine whether to perform the action corresponding to the input command or whether to perform another action, for example, generating and providing a notification or authorization request to a user.

Provided are a facility management system and method using an Internet of things (IoT) based sensor and an unmanned aerial vehicle (UAV). The facility management system and method may determine a current status and an abnormal behavior of a facility by primarily measuring the abnormal behavior of the facility in real time by a plurality of IoT based sensors included in the facility and secondarily precisely measuring the abnormal behavior of the facility by capturing an image through a UAV when necessary or when the abnormal behavior is detected, and may prevent a false alarm due to an error of a measurement sensor by performing two inspections through the IoT based sensor unit and the UAV.

A device that is configured to track an asset is disclosed. In one aspect, the device includes a radio module that generates proximity data that indicates a distance between the computing device and the device. The device includes a processor that compares the distance between the computing device and the device to a distance threshold. The processor determines that the distance between the computing device and the device satisfies the distance threshold. The processor arms the device. The device includes a motion sensor that generates motion data. The processor compares the motion data to a motion threshold. The processor determines that the motion data satisfies the motion threshold. The processor activates an alarm state.

Provided is a surveillance method. The surveillance method includes detecting an event occurring region from an image obtained by using a first image sensor; and, when the event occurring region satisfies a preset condition, moving an identification unit on which a second image sensor is mounted in a direction corresponding to the event occurring region.

A Handy Base Station (HBS) which is capable of connecting through a base portion into a power socket (e.g., lamp socket). The HBS may have a plurality of functional modules capable of being detachably mounted in a housing. One of the functional modules may be a light emitter such as a light emitting diode (LED). Another rmodule may be a communication module which may communicate using a wire line or wirelessly using standard wireless communication protocols. Further disclosed is a combination unit which has the HBS located on a pole such as a utility pole with a landing pad for an unmanned aerial vehicle (UAV) to allow the UAV a recharging location between deliveries and to allow the HBS to guide the UAV on its flight.

A drone communications system includes a drone having a plurality of sensors, wherein each of the plurality of sensors collects a stream of data. A ground control system is in communication with the drone and the plurality of sensors. At least one communications device is included. A communications server is in communication with the drone, the ground control system, and the at least one communications device. Each stream of data from the plurality of sensors is transmitted to the communications server, and the communications server transmits the stream to the ground control system and at least one communications device in real time. In another embodiment, each stream of data is first transmitted to the round control system or to nodes in a mesh network, where the stream of data is authorized and then transmitted to at least one communications device in real time.

A drone security system with at least a drone and a drone base having been setup with locations that are part of a tradition security systems and where the traditional security system is in communication with drone base enabling the drone to respond to events that occur in the traditional security system and for the drone to also follow a predetermined path with checkpoints.

An intelligent inspection device is disclosed. The intelligent inspection device comprising a sound collection collecting a first operation sound generated in a refrigerator and storing the collected first operating sound a reference sound set-up comparing the first operation sound stored in the sound collection with a preset normal sound of the refrigerator, learning a result of the comparison to set a reference sound, and setting a reference sound range based on the set reference sound and a processor collecting, through the sound collection, a second operation sound generated in the refrigerator after the reference sound range has been set, comparing the second operation sound with the reference sound range, and inspecting whether the refrigerator fails based on the result of the comparison. According to the intelligent inspection device or the artificial intelligent refrigerator of the present disclosure, one or more of a user terminal, and a server of the present disclosure may be associated with an artificial intelligence module, a drone ((Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G services, etc.

A drone receives an activation command indicating a user's need for monitoring, and is deployed based on the activation command and a set of initial operational parameters. The drone autonomously navigates to a first position with respect to the user and performs a first configured action. A plurality of monitoring data signals corresponding to the user and surrounding environment is captured using sensors on the drone, and is wirelessly transmitted by the drone to a remote monitoring system. The monitoring data signals are continuously analyzed to generate updated operational parameters causing the drone to autonomously navigate to a second position and perform a second configured action. A third configured action is received by the drone from the remote monitoring system, wherein the third configured action is generated based on a threat analysis performed by the remote monitoring system on the monitoring data signals.