Systems and methods for tracking unauthorized intruders using a drone integrated with a security system are provided. The drone can carry a transceiver device and an image capturing device, the transceiver device can receive an alarm signal from a security system monitoring a region such that the alarm signal indicates an unauthorized intruder is located in the region, the drone can move to an initial location of the unauthorized intruder, the image capturing device can capture an initial image of the unauthorized intruder at the initial location, and the drone can track the unauthorized intruder.

The present invention is directed to methods and systems for enforcing at least one rule within a geofence. The rule is enforced by a fencing agent on an Unmanned Aerial Vehicle (UAV). The geofence is defined by a plurality of geographic designators, with the plurality of geographic designators each being associated with an Internet Protocol (IP) address, preferably an IPv6 address.

Systems, methods, and computer program products for securing a device or an asset attached thereto. The positions of a plurality of devices are monitored, and based on the positions, a determination is made as to whether a threshold condition has been violated. If the threshold condition has been violated, a notification signal is transmitted from a monitored device to one or more of the other devices to alert a responder that the monitored device is at risk of being lost. In response to the threshold condition being violated, the monitored device may also record and/or transmit data for display to the responder to help prevent the loss, or facilitate the recovery of the monitored device and/or an asset attached to the monitored device.

A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device.

A method performed in a network node is provided for alerting about failure of an unmanned aerial vehicle. The method comprises receiving a failure report from an unmanned aerial vehicle, obtaining an estimated crash point for the unmanned aerial vehicle, and sending, based on the obtained estimated crash point, warning signals to communication devices residing within a defined area. Methods in an unmanned aerial vehicle and in a network entity, and a network node, unmanned aerial vehicle, network entity, computer programs and computer program products are also provided.

The present disclosure relates to an information processing device, an information processing method, and a program capable of providing more useful support for an activity of a target moving body.

A predetermined region at a predetermined relative position with respect to a target moving body, the predetermined region being a region where predetermined information is detectable by a moving object, is set as a region to be monitored on the basis of target-moving-body-related information regarding the target moving body detected by the moving object. For example, a region around the target moving body in a predetermined direction is set as the region to be monitored. The present disclosure is applicable to, for example, an information processing device, an image processing device, a communication device, an electronic device, an information processing method, a program, or the like.

Techniques and systems are described for generating and using a sound localization model. A described technique includes obtaining for a building a sound sensor map indicating locations of first and second sound sensor devices in respective first and second rooms of the building; causing an autonomous device to navigate to the first room and to emit, during a time window, sound patterns at one or more frequencies within the first room; receiving sound data including first and second sound data respectively from the first and second sound sensor devices that are observed during the time window; and generating and storing a sound localization model based on the sound sensor map, autonomous device location information, and the received sound data, the model being configured to compensate for how sounds travels among rooms in at least a portion of the building such that an origin room of a sound source is identifiable.

A method (20) performed in a network node (4) is provided for alerting about failure of an unmanned aerial vehicle (2). The method (20) comprises receiving (21) a failure report from an unmanned aerial vehicle (2), obtaining (22) an estimated crash point for the unmanned aerial vehicle (2), and sending (23), based on the obtained estimated crash point, warning signals to communication devices (3) residing within a defined area. Methods in an unmanned aerial vehicle and in a network entity, and a network node, unmanned aerial vehicle, network entity, computer programs and computer program products are also provided.

A system and method for identifying if a drone is illegitimately video streaming a location, object or person. An interceptor intercepts radio transmissions and identifies if a radio transmission is an FPV video transmission. A watermarker is used for emitting a periodic physical stimulus at a given frequency for a given duration. The system then verifies if there is a correlation between the video transmission and the periodic physical stimulus; and issues a privacy invasion attack notification if such a correlation is determined between the video transmission and the periodic physical stimulus.

An apparatus includes a capture device, a light, a processor and a communication device. The capture device may be configured to generate high resolution video frames of an area below a level of the apparatus. The light may be configured to illuminate the area in a first mode and focus a light beam on a target in a second mode. The processor may be configured to perform video analysis on the high resolution video frames to detect objects, change the light to the second mode by identifying the target from the objects detected, perform digital pan, zoom and tilt operations on the high resolution video frames and crop the high resolution video frames to a low resolution video frame using the operations. The communication device may be configured to receive the low resolution video frame from the processor and transmit the low resolution video frame to a user device.