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 imaging system includes: an unmanned flight vehicle; an imager that is mounted on the unmanned flight vehicle and takes an image of a robot which performs work with respect to a target object; a display structure which is located away from the unmanned flight vehicle and displays the image taken by the imager to a user who manipulates the robot; and circuitry which controls operations of the imager and the unmanned flight vehicle. The circuitry acquires operation related information that is information related to an operation of the robot. The circuitry moves the unmanned flight vehicle such that a position and direction of the imager are changed so as to correspond to the operation related information.

A system and method are provided for location-targeting the provision of media distributed by a mobile platform. The method provides a mobile platform with an attached media projection subsystem, and an identifier associated with the media projection subsystem. The media projection subsystem is selectively enabled, the geographic location of the mobile platform is determined, and the identifier and the enablement of the media projection system are verified. Verification information, including the mobile platform (media projection subsystem) location, identifier, and enablement of the media projection subsystem is communicated to a server and stored in a non-transitory memory. A targeting application may direct the system to a target location in cooperation with analyzing the verification information, weighted for factors such as proximate vehicular traffic, line of sight, proximate pedestrian traffic, proximity to cultural events, proximity to cultural facilities, the time of day, and the length of time the media is being projected.

A method (400) of capturing and processing electroluminescence (EL) images (1910) of a PV array (40) is disclosed herein. In a described embodiment, the method 400 includes controlling the aerial vehicle (20) to fly along a flight path to capture EL images (1910) of corresponding PV array subsections (512b) of the PV array (40), deriving respective image quality parameters from at least some of the captured EL images, dynamically adjusting a flight speed of the aerial vehicle along the flight path, based on the respective image quality parameters for capturing the EL images (1910) of the PV array subsections (512b), extracting a plurality of frames (1500) of the PV array subsection (512b) from the EL images (1910); determining a reference frame having a highest image quality of the PV array subsection (512b) from among the extracted frames (2100); performing image alignment of the extracted frames (2100) to the reference frame to generate image aligned frames (2130), and processing the image aligned frames (2130) to produce an enhanced image (2140) of the PV array subsection (512b) having a higher resolution than the reference frame. A system, image processing device, and aerial vehicle for the method thereof are also disclosed.

A vehicle control system includes at least one imaging device attached to a vehicle and that captures multiple images, and a control circuit that generates a composite image from the multiple images and displays the composite image on a display unit. The vehicle is operated according to a user operation on a portion of the display unit on which the composite image is being displayed.

Methods and systems for identifying watchers of an object of interest at an incident scene. One method includes receiving, with an electronic processor, an object identifier corresponding to the object of interest. The method includes determining a watcher status for the object of interest. The method includes generating a notification based on the watcher status and the object identifier. The method includes transmitting, with a communication interface communicatively coupled to the electronic processor, the notification to an available watcher at the incident scene.

Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

A control system is configured to control a system including a plurality of cameras installed in a facility, and perform a group classification process for recognizing a feature of a person photographed by the camera and classifying the person into a predetermined first or second group based on the feature. When there is or isn’t a person belonging to the first group, the control system selects a first operation mode and a second operation mode different from the first operation mode, respectively. When the control system selects the second operation mode, it performs the process so as to make either one of the number of cameras to be operated among the plurality of cameras and the number of cameras used as an information source in classification in the process among the plurality of cameras less than the number of cameras that are used when the first operation mode is selected.

Provided is a posture changing device for changing a posture of an aerosol container mounted on an unmanned aerial vehicle, the posture changing device including: a posture selecting unit for selecting a posture of the aerosol container from a plurality of candidate postures; and a posture changing unit for changing a posture of the aerosol container to the posture selected from the plurality of candidate postures. Also provided is a posture changing method for changing a posture of an aerosol container mounted on an unmanned aerial vehicle, the posture changing method including: selecting a posture of the aerosol container from a plurality of candidate postures; and changing a posture of the aerosol container to the posture selected from the plurality of candidate postures.

An agricultural harvester includes one or more actuators configured to move a crop unloading tube of the harvester relative to a frame of the harvester. Additionally, the agricultural harvester includes a sensor configured to capture data indicative of a presence of the crop receiving vehicle within a crop unloading zone of the agricultural harvester. Moreover, the agricultural harvester includes a computing system communicatively coupled to the sensor. As such, the computing system configured to determine when the crop receiving vehicle is present within the crop unloading zone based on the data captured by the sensor. In addition, when it is determined that the crop receiving vehicle is present within crop unloading zone, the computing system is configured to control an operation of the one or more actuators such that the crop unloading tube is moved relative to the frame from a current position to a predetermined crop unloading position.