Embodiments of the present invention are a trajectory tracking method and an unmanned aerial vehicle. The method is including an unmanned aerial vehicle body and a gimbal, and the unmanned aerial vehicle body being equipped with at least one visual sensor, and the method includes: obtaining a flight image acquired by the at least one visual sensor, the flight image including a to-be-tracked target; performing visual image processing on the flight image, to generate a gimbal rotation instruction and a path instruction; adjusting an angle of the gimbal according to the gimbal rotation instruction and a gimbal state parameter of the gimbal, to lock the to-be-tracked target; and controlling a motor speed of a flight motor of the unmanned aerial vehicle according to the path instruction and a flight state parameter of the unmanned aerial vehicle, to cause the unmanned aerial vehicle to track the to-be-tracked target according to the path instruction.

A method includes: launching an unmanned aerial vehicle (UAV) parallel to a buried pipeline; sending a plurality of transmitted ground penetrating radar (GPR) waves to the buried pipeline using a GPR antenna of the UAV; receiving a received GPR wave from the buried pipeline such that the received GPR wave is a combination of a reflected GPR wave with a ringing noise signal from the one or more scrapers; measuring one or more parameters of the received GPR wave and determining if values of the one or more parameters are within a predefined threshold region; recording location coordinates and a time stamp of the one or more scrapers by analyzing the received GPR wave; and sending the location coordinates and the time stamp of the one or more scrapers to a controller unit for continuous and real-time locating and tracking movement of the one or more scrapers.

An early warning method and system for a regional public security management in a smart city based on the IoT are provided. The early warning method includes: sending, based on a sensing network sub-platform, a monitoring image of a target region to the management sub-platform; processing, based on a management sub-platform, the monitoring image to determine a risk index of the at least one target region; generating early warning information in response to the risk index of the target region greater than a first threshold, and sending the early warning information to the user platform through a general database of the management platform and the service platform; and obtaining a management instruction based on the user platform, and controlling, according to the management instruction, an unmanned aerial vehicle to go to the target region for monitoring.

A signal processing device can determine a wireless sensor signature of an individual within a sensory environment of the signal processing device, the wireless sensor signature corresponding to reflected wireless signals from the individual. Based on reflected wireless signals from the individual, the signal processing device can detect an emergency event at an emergency location within the sensory environment. In response to detecting the emergency event, the signal processing device can transmit, over a wireless network, a deploy command to a drone that includes a camera, the deploy command indicating the emergency location and including an imaging command to capture live images of the emergency event.

A system includes an unmanned aerial vehicle (UAV) security system comprising a network interface and a processing circuit, where the network interface is structured to facilitate data communication with a UAV and a user device via a network, and the processing circuit comprising a processor and a memory where the processing circuit is structured to deploy the UAV from a UAV base, guide the UAV along a route within or near a provider location, receive monitoring data associated with the provider location and its surroundings from the UAV where the monitoring data is based on ultra-wideband (UWB) data and radio-frequency identification (RFID) data, identify a foreign object based on the monitoring data, and provide a notification to the user device regarding the foreign object.

An unmanned system maneuver controller (USMC) includes an inertial navigation system (INS) for state estimation of the USMC in three-dimensional (3D) space, a communications device configured to communicate with an unmanned system, and a processor configured to receive, via the communications device, flight, maneuver, or dive data from the unmanned system, and generate flight, maneuver, or dive control instructions based at least on the flight, maneuver, or dive data and data received from the INS. The flight, maneuver, or dive control instructions are configured to pilot the unmanned system based on movement of the USMC in 3D space. A remote may selectively control an operation of the USMC. The USMC may be mounted to a weapon or observation device, such that movement of the weapon or observation device in 3D space controls a movement of the unmanned system. Additional systems and associated methods are also provided.

A mobile security device such as a drone includes a video camera, a memory that is configured to store a plurality of video analytics algorithms, a position sensor, a transceiver and a controller. The controller is configured to determine a position of the mobile security device based on information provided by the position sensor and to select one or more video analytics algorithms of the plurality of video analytics algorithms based at least in part upon the determined position of the mobile security device. The controller is configured to instruct the video camera to capture video and to perform the selected one or more video analytics algorithms on the captured video, resulting in one or more video analytics results. The controller is configured to transmit one or more of the video analytics results to a remote device via the transceiver.

An access management system includes a mobile device with a processor and a memory and a software platform including at least a processor and a memory. The software platform is configured to analyze data obtained from the mobile device and other devices connected to the software platform. Specifically, the software platform is operable to determine if an access key received, read, or captured by a mobile device matches an access key for an authorized account, object, device, or space for the mobile device, and to provide access to the mobile device if the access key received, read, or captured by the mobile device matches the authorized access key.

An access management system includes a mobile device with a processor and a memory and a software platform including at least a processor and a memory. The software platform is configured to analyze data obtained from the mobile device and other devices connected to the software platform. Specifically, the software platform is operable to determine if an access key received, read, or captured by a mobile device matches an access key for an authorized account, object, device, or space for the mobile device, and to provide access to the mobile device if the access key received, read, or captured by the mobile device matches the authorized access key.