A living body search system includes an unmanned moving body and a server connected to the unmanned moving body through a communication network. The unmanned moving body includes a camera, a moving means, and an image data processor. The image data processor is configured to detect a presence of a face of the living individual in an observation image taken by the camera, retrieve image data of the observation image, and transmit the retrieved image data to the server for facial recognition. The server includes a database configured to store individual identification information of the searched-for object, and an individual identifying means configured to compare the image data with the individual identification information to determine whether the living individual in the image data is the searched-for object.

A surveillance system is provided including an Internet-enabled (IP) camera and nodes that determine the location of a plurality of sensors, which are wirelessly connected to the IP camera. The nodes determine the position of the plurality of sensors and the IP camera through the use of position determining techniques including multilateration, trilateration, and triangulation. Additionally, line of sight positioning methods and global positioning system devices may be used in setting up a positional awareness system, which enables the IP camera to control systems based on condition information and positional awareness.

The present disclosure is directed to systems and methods for generating investigations of user behavior. In an example embodiment, the system includes a video camera configured to capture video of user activity, a video analytic module to perform real-time video processing of the captured video to generate non-video data from video, and a computer configured to receive the video and the non-video data from the video camera. In some embodiments, the video camera is at least one of a traffic camera or an aerial drone camera. The computer includes a video analytics module configured to analyze one of video and non-video data to identify occurrences of particular user behavior, and an investigation generation module configured to generate an investigation containing at least one video sequence of the particular user behavior. In some embodiments, the investigation is generated in near real time. The particular user behavior may be defined as an action, an inaction, a movement, a plurality of event occurrences, a temporal event and/or an externally-generated event.

Systems and methods for geofence information delivery are disclosed. A multiplicity of devices constructed and configured in network communication in a region of interest via a peer-to-peer network. The multiplicity of devices store cached geofence information for the region of interest. The multiplicity of devices on the peer-to-peer network are operable to convert between an IP address and a geographic location. Each of the multiplicity of devices is operable to query peer devices on the peer-to-peer network for geofences associated with an IP address or a geographic location. At least one peer device is operable to deliver one or more geofences associated with the IP address to the querying device via zero-configuration networking or web service.

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.

A monitoring system that includes a monitoring center unit, a monitoring camera, and a drone device. The monitoring system is a system for monitoring a monitoring target area in a predetermined range, starting the drone device when an abnormality is detected, and dealing with the generated abnormality.

The invention relates to a system for remote monitoring of an area intended to accommodate at least one passenger of an aeroplane, notably a cargo area provisionally converted into cabin space, including: at least one control member configured to generate at least one signal relating to the safety of the passenger present in the area, and at least one interface means that is situated at a distance from the area and allows the cabin crew to have access to information relating to the area and/or to the passenger present in the area on the basis of the signal.

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.

An apparatus, including a drone which is assigned to a venue and programmed or configured for flight, navigation, or operation, within an interior of the venue. The drone is activated upon an occurrence of a drone activation event, and the drone flies or navigates inside the venue in response to the drone activation event. The drone finds or locates an individual or an animal inside the venue, and initiates a communication link with a communication device, wherein the communication device is located at a location remote from the venue. An audio recording device or a video recording device of or at the drone records audio information or video information, and the drone transmits the audio information or the video information to the communication device or to a computer. The computer is located at a location remote from the venue. The drone provides audio information via a speaker.

System and method for identifying a weapon, and tracking and generating an alert in response to the weapon identification are disclosed. The system includes an image capturing unit installed at a structure. The image capturing unit includes an image sensor and an infrared sensor. The infrared sensor identifies weapons being carried by persons or vehicles in its field of view. Concurrently, the image sensor captures and records the images of the person and/or the vehicle. The image capturing unit notifies law enforcement officers of the person and/or the vehicle having the weapons. In one implementation, the image capturing unit connects to an unmanned aerial vehicle (UAV). The UAV deploys and tracks the location after the person and/or the vehicle moves away from the field of view of the image capturing unit. The UAV tracks the person and/or the vehicle until the law enforcement officers capture the person and/or the vehicle.