A system and method for obtaining real-time data regarding the condition of a crop and planning and executing an irrigation cycle in response to the data. The invention uses an unmanned aerial vehicle to survey the conditions within an irrigated area. The irrigation system includes components to vary the amount of water dispensed within particular areas. The data obtained is used to create an irrigation schedule that the irrigation system then carries out. For example, surveyed areas that contain more moisture may be given relatively less water during the next irrigation cycle. The data obtained may also be used to alter a scheduled delivery of fertilizer, pesticide, or some other substance.

Systems and methods for automatically identifying and ascertaining an estimated amount of damage at a location by utilizing one or more autonomous vehicles, e.g., “drone” devices, to autonomously capture data of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured data and construct a 3-D model of the location.

A housing for a ground vehicle-mountable aerial vehicle is provided. The housing includes a base portion defining a cavity and an opening leading into the cavity. The cavity is structured to receive an unmanned aerial vehicle therein. The cavity is configured so as to open upwardly when the housing is mounted on the vehicle. The housing also includes a drafting wall structured to extend from the base portion at a location forward of at least a portion of the cavity when the housing is mounted on the ground vehicle.

A method includes dispatching a drone to a site. The drone includes audio/visual equipment. The method includes logging a plurality of timestamped locations of the drone and receiving, from the audio/visual equipment, site data captured by an on-site operator of the audio/visual equipment. The method includes correlating a portion of the site data with at least one of the timestamped locations of the drone.

Disclosed is a system and method for reducing the total latency for transferring a frame from the low latency camera system mounted on an aerial vehicle to the display of the remote controller. The method includes reducing the latency through each of the modules of the system, i.e. through a camera module, an encoder module, a wireless interface transmission, wireless interface receiver module, a decoder module and a display module. To reduce the latency across the modules, methods such as overclocking the image processor, pipelining the frame, squashing the processed frame, using a fast hardware encoder that can perform slice based encoding, tuning the wireless medium using queue sizing, queue flushing, bitrate feedback, physical medium rate feedback, dynamic encoder parameter tuning and wireless radio parameter adjustment, using a fast hardware decoder that can perform slice based decoding and overclocking the display module are used.

An unmanned aerial vehicle (UAV) logs first UAV information at a first frequency. The UAV triggers a camera associated with the UAV to capture an image. In response to triggering the camera to capture the image, the UAV logs second UAV information at a second frequency that is higher than the first frequency. A device that is separate from the UAV identifies a location of the UAV corresponding to the image based on a capture timestamp of the image received from the camera, the first UAV information, and the second UAV information. The device generates a geo-rectified imagery based on the image and the location of the UAV.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to pre-surveil a portion of a property. In one aspect, a system may include a monitoring unit. The monitoring unit may include a network interface, a processor, and a storage device that includes instructions to cause the processor to perform operations. The operations may include obtaining data that is indicative of one or more acts of an occupant of the property, applying the obtained data that is indicative of one or more acts of the occupant of the property to a pre-surveillance rule, determining that the pre-surveillance rule is satisfied, determining a drone navigation path that is associated with the pre-surveillance rule, transmitting, to a drone, an instruction to perform pre-surveillance of the portion of the one or more properties using the drone navigation path.

According to the present invention there is provided a method of taking a measurement using a sensor mounted on an aerial vehicle, the aerial vehicle having one or more propellers and one or more motors which are selectively operable to drive the one or more propellers to rotate to cause the vehicle to fly, and a sensor mounted on the aerial vehicle, the method comprising the steps of, operating the one or more motors to drive the one or more propellers to cause the vehicle to fly; at a first time instant, slowing down or turning off said one or more motors; while the one or more motors are slowed down or turned off, taking a measurement using said sensor; at a second time instant, which is after the measurement has been taken using the sensor, operating the one or more motors again to drive the one or more propellers to cause the vehicle to fly. There is further provided a corresponding aerial vehicle.

Drone-based inventory management method and systems. One embodiment provides a drone-based inventory management system including one or more unmanned aerial vehicles (UAVs), and a central management system having an electronic processor, and a transceiver configured to communicate with the one or more UAVs. The electronic processor is configured to determine a discrepancy in inventory and select a UAV for verification. The electronic processor is also configured to determine whether weather permits UAV operation and operate the UAV in a pre-determined route when the weather permits UAV operation. The electronic processor is further configured to capture images using the UAV and determine new inventory based on captured images. The electronic processor is also configured to update inventory based on the new inventory.

An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.