Disclosed is a method for controlling stable flight of an unmanned aircraft, comprising the following steps: acquiring real-time flight operation data of the aircraft itself by means of an attitude sensor, a position sensor and an altitude sensor mounted to the unmanned aircraft, performing corresponding analysis on a kinematic problem of the aircraft by a processor mounted thereto, and establishing a dynamics model of the aircraft (S1); designing a controller of the unmanned aircraft according to a multi-layer zeroing neurodynamic method (S2); solving output control quantities of motors of the aircraft by the designed multi-layer zeroing neural network controller using the acquired real-time operation data of the aircraft and target attitude data (S3); and transferring solution results to a motor governor of the aircraft, and controlling powers of the motors according to a relationship between the control quantities solved by the controller and the powers of the motors of the multi-rotor unmanned aircraft, so as to control the motion of the unmanned aircraft (S4). Based on the multi-layer zeroing neurodynamic method, a correct solution to the problem can be approached rapidly, accurately and in real time, and a time-varying problem can be significantly solved.

Systems and techniques are described for gathering information on the health of individuals trapped in an accident to provide actionable information to a first responder system. In some implementations, a monitoring system monitors a property that includes sensors located at the property and generate first sensor data. A monitor control unit receives the first sensor data and generates an alarm event for the property based on the first sensor data. Based on generating the alarm event for the property, the monitor control unit dispatches an autonomous drone. The autonomous drone is configured to navigate the property. Using an onboard sensor, the autonomous drone generates second sensor data. Based on the second sensor data, the autonomous drone determines a location within the property where a person is likely located. The autonomous drone provides, for output, data indicating the location within the property where the person is likely located.

A system for detecting a failure along a transmission line of a cable plant is provided. The system includes a mobile vehicle configured to travel along a pathway substantially proximate to the cable plant along a span of the transmission line, and a transmitter disposed with the mobile vehicle. The transmitter is configured to emit (i) a test signal capable of ingressing the transmission line at a location of the failure, and (ii) an information signal containing location and velocity data of the mobile vehicle. The test signal is configured to provide phase shift and Doppler frequency information to a receiver operably connected to the transmission line at a location upstream from the location of the failure.

A method is disclosed. The method includes providing a sensor attached to a vehicle, controlling the vehicle to move toward a system, using the sensor to sense data, providing the sensed data to a detection module including computer-executable code stored in non-volatile memory, and controlling the sensor and the vehicle to perform a raster scan when the detection module detects a variation in the sensed data. The method also includes providing sensed raster scan data to the detection module, using the detection module to generate a plurality of probability distribution curves based on the sensed raster scan data, and using the detection module to generate a vector based on the plurality of probability distribution curves. The vector points to a location of the system.

A drone apparatus and a method for deploying a drone working zone are provided. The drone apparatus includes an aircraft body, a communication device, a positioning device and a flight controller. The flight controller is configured to: set edge rules of a working zone unit used to construct a working zone for the drone apparatus to work around a bridge; control the aircraft body to fly along a target section selected in the bridge according to a control signal received by the communication device, and calculate positions of multiple points of interest (POIs) passed by during the flight using the positioning device; generate one working zone unit with positions of adjacent two of the POIs according to the edge rules of the working zone unit; and combine multiple working zone units generated by using positions of all the POIs to construct and deploy the working zone of the target section.

A payload retrieval apparatus is provided including a stand or base, wherein the base or stand has an upper end and a lower end, a first sloped surface positioned over the upper end of the stand or base, a second sloped surface positioned over the upper end of the stand or base and adjacent the first sloped surface, a tether slot positioned in a channel having a first end and a second end, the channel positioned under or near the first sloped surface, and a payload holder positioned at the second end of the channel, wherein the payload holder is adapted to secure a payload.

A method of using a bagged power generation system comprising windbags and waterbags integrated with drones and adapting drone technologies for harnessing wind and water power to produce electricity. An extremely scalable and environmentally friendly method, system, apparatus, equipment, techniques and ecosystem configured to produce renewable green energy with high productivity and efficiency.

This disclosure relates to system and method for managing an insect swarm using a plurality of drones. The method includes detecting an insect swarm. The method may further include tracking a movement of the insect swarm. The method further includes communicating, with remaining of the plurality of drones, to dynamically align in a position based on the tracking so as to make a drone formation. The method further includes magnetizing, by at least some of the plurality of drones, one or more drone couplers for electromagnetically coupling the at least some of the plurality of drones with each other as per the drone formation. The method further includes casting, by each of the plurality of drones, a net to trap insects in the insect swarm. The method further includes supplying, by each of the plurality of drones, a high voltage to the net to decapacitate the insects.

Techniques are described for using sensor-based objection recognition and property condition monitoring techniques to automate and improve methods of navigating a property during a property tour. In some implementations, sensor data is received from one or more sensors that are located within a property. Property data that identifies characteristics of the property is received. A model of the property is generated. Authentication data that identifies users who are authorized to access the property is received. Data identifying a visiting user is received. The data identifying the visiting user is compared to the authentication data. The visiting user is determined to be authorized to access the property. Preference data that indicates preferences of the visiting user is accessed. A path to guide the user around the property is generated based on the model of the property and the preferences of the visiting user.

Techniques for automatically initializing customer assistance in a retail store based on video analysis are provided. An exemplary method includes collecting training data including historical video data and training a computer vision model using the training data to identify at least one customer movement associated with customers in need of assistance. The method also includes receiving video data of a customer in a retail store, the video data captured by a camera, and applying the computer vision model to the video data to determine whether the customer has performed the at least one customer movement. The method still further includes, in response to determining that the customer has performed the at least one customer movement, determining the customer is in need of assistance and engaging the customer using at least one computing device.