A rescue system identifies and rescues a protection target, using information from a camera mounted on a movable body. The rescue system includes: a plurality of movable bodies; and a server configured to communicate with the plurality of movable bodies. The server is configured, when the protection target is identified, to (a) acquire positional information about each of the plurality of movable bodies and positional information about the protection target, and (b) select, as the protection target moves, a movable body which is to monitor the protection target, from the plurality of movable bodies.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for enabling drone activity in a property monitored by a property monitoring system without triggering a false alarm. In one aspect, the method includes actions of obtaining a location of the drone, identifying a first sensor installed at the property that is within a predetermined distance of the drone, detecting first sensor data generated by the first sensor that is within a predetermined distance of the drone, wherein the first sensor data includes data that is indicative of an event, determining whether a second sensor that is mounted to the drone is generating second sensor data that corroborates the event indicated by the first sensor data, and disregarding, by the property monitoring system, the first sensor data in determining whether to trigger an alarm.

Techniques are described for an autonomous asset management system that integrates autonomous devices, such as drone devices and other robotic devices, with a home security system of a property to enable management, monitoring, and/or tracking of various assets located within the property. In some implementations, an indication of an asset associated with a property is obtained by an autonomous device. Sensor data collected by one or more sensors of the property is obtained by the autonomous device based on the indication of the asset. A present status of the asset is determined by the autonomous device based on the sensor data. A determination that the present status of the asset does not correspond to an expected status of the asset is made by the autonomous device. In response, the autonomous device navigates to the particular location of the property.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

A monitoring system that is configured to monitor a property includes a camera that is configured to capture video data of the property. The monitoring system further includes a microphone that is configured to capture audio data of the property. The monitoring system further includes a monitor control unit that is configured to access and analyze the video data. The monitor control unit is further configured to determine that an alarm condition does not exist at the property. The monitor control unit is further configured to access and analyze the audio data. The monitor control unit is further configured to override the determination that an alarm condition does not exist at the property. The monitor control unit is further configured to, based on overriding the determination that an alarm condition does not exist at the property, perform a monitoring system action.

Methods and systems for operating a moving platform to determine data associated with a target person or object are disclosed. In an example method to determine at least one of an object or an activity associated with the target, a first moving platform, configured with a first type of sensor, is caused to move to an area associated with the target. The target is located at the area. An attempt is made to determine, via the first moving platform and the first type of sensor, the at least one of the object or activity. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The at least one of the object or activity associated with the target is determined via the second moving platform and the second type of sensor.

An artificial intelligence entry management device for an entry and delivery system includes a camera, a microphone, a motion detector, a speaker, and a housing. The housing has an oval shape with a substantially open middle. The substantially open middle has a housing protrusion portion configured to house the camera, the microphone, the motion detector, and the speaker. The entry and delivery system may also include one or more robots that interface with the entry management device to monitor an area around an access point and to alert the user of activity. A robot may be an aerial robot that has a camera, a robot light, a speaker, a microphone and an actuator to enable picking and moving a package. Aerial robots may be configured around a perimeter of a building to monitor the building and may turn on a robot light when motion is detected.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, a software platform and a smart electronic device. The smart electronic device is operable to interface with the software platform device to provide verification, receive alerts, and receive images, video and/or audio. The smart electronic device include one or more of a smart wearable device including smart watches, smart glasses, virtual reality devices, and augmented reality devices.

Disclosed are an electronic device for controlling a plurality of external electronic devices that perform resource offloading and a method for controlling the same. An electronic device according to an embodiment of the disclosure includes: a communication module comprising communication circuitry, and at least one processor, wherein the at least one processor may be configured to: control the communication module to acquire first information related to a suspected event from a first external electronic device, determine a second external electronic device to be dispatched to a location where the suspected event has occurred, control the second external electronic device so that the determined second external electronic device is dispatched to a vicinity of the location where the suspected event has occurred, acquire second information related to an analysis result of the suspected event from the first external electronic device based on controlling the second external electronic device to be dispatched to the vicinity of the location where the suspected event has occurred, and perform a subsequent procedure based on the acquired second information.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.