A system and method that take the constraints of a search warrant, process them digitally, and transfer them into the navigation system of an aerial vehicle so that the aerial vehicle executes surveillance and search under the control of a human operator without flying outside the constraints, thus ensuring that the search does not violate the law or exceed the constraints of the warrant.

A swarm robot control system for safety inspection and surveillance patrol, and an operating method thereof are disclosed. The swarm robot control system includes one or more management robots which are placed in each safety management area, and collect and transmit safety management data while traveling autonomously in a safety management area based on control command data, a local controller which is placed in each safety management area, and transmits the control command data to the management robot and receives the safety management data from the management robot, one or more relay robots which are placed in each safety management area, and move to a predetermined relay location so as to relay communication between the local controller and the management robot, a charging robot which is equipped with a rechargeable battery, and provides power for charging the battery to at least one of the management robot or the relay robot, and a central controller which receives the safety management data from the local controller in each safety management area and transmits the control command data to the local controller so as to remotely control the management robot.

The present disclosure provides a patrol target detection method and apparatus, a device, and a storage medium. The method includes: obtaining patrol targets patrolled by a patrol device at a preset patrol position in multiple patrol postures sequentially and geographical positions of the patrol targets, the multiple patrol postures being different, patrol sub-areas patrolled by the patrol device at the preset patrol position in the multiple patrol postures sequentially forming a patrol area; and displaying the patrol targets at the geographical positions in a patrol map. According to the technical solution, errors and omissions in target statistics can be avoided and rapid detection of the patrol targets in the patrol area can be achieved.

An unmanned helicopter platform includes a fuselage, a tail coupled with the fuselage, a payload rail coupled with and extending along the fuselage and a main rotor assembly coupled with the fuselage. The tail includes a tail rotor and a tail rotor motor. The tail is removably coupled to the fuselage. The main rotor assembly includes a main rotor having an axis of rotation and a main rotor motor.

An example operation may provide receiving a communication from a drone among drones active in an area, forwarding a token authorizing the drone to a blockchain, storing a transaction in the blockchain comprising a drone identifier and the token, and assigning the drone a role and a mission to complete one or more tasks.

A repellence system and method for repelling animals. The repellence system includes an imaging device arranged to generate image data from a surveillance area, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and an repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the surveillance area from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.

Server processing circuitry is configured to: determine a work site that requires work; and transmit site information indicating the work site, to a movable body communicator. Movable body processing circuitry is configured to: receive the site information from a management server through the movable body communicator; generate based on the site information a movement command for making an autonomous movable body autonomously move to the work site; acquire support information for the work at the work site; and output the support information to a worker through a man-machine interface when the autonomous movable body has arrived at the work site.

The method of managing unmanned aerial vehicle (UAV) patrols is a method for organizing and managing a fleet of UAVs for patrolling a geographic region for the detection of threats. During patrols, the UAVs visit two types of waypoints: critical waypoints and strategic waypoints. To establish the strategic waypoints, a set of seed points are generated using a beta probability distribution. Voronoi tessellation is applied to produce the set of strategic waypoints within the region of interest by using the set of seed points as an input. Each of the strategic waypoints has a set of coordinates on the three-dimensional occupancy map associated therewith. The set of coordinates associated with each of the strategic waypoints is a centroid of a corresponding Voronoi cell produced by the Voronoi tessellation. A priority score is assigned to each of the critical waypoints and each of the strategic waypoints.

Various arrangements are provided for using an unmanned aerial vehicle with a home automation system. The home automation host system may determine that a home automation event has occurred. The system may determine to perform unmanned aerial vehicle (UAV) surveillance of the home in response to the home automation event. Deployment of a UAV may be triggered in response to determining to perform the UAV surveillance of the home. Video may then captured by the UAV of a portion of the home, possibly corresponding to the location of the home automation event. The video captured by the UAV of the portion of the home in association with an indication of the home automation event that triggered deployment of the UAV may be recorded.

Systems, apparatuses and methods are provided herein for providing monitoring premises. In one embodiment, a system for monitoring premises comprises: an unmanned aerial vehicle (UAV) comprising a three dimension (3D) scanner, a baseline model database, and a control circuit comprising a communication device for communicating with the UAV. The control circuit being configured to: instruct the UAV to travel to a monitored premises and perform a 3D scan with the 3D scanner to obtain a 3D point cloud of the monitored premises, compare a current state of the one or more features in the 3D point cloud of the monitored premises with a baseline state in a baseline state model, and identify a deviation of the current state of the one or more features of the monitored premises from the baseline state.