Provided is an unmanned aerial vehicle capable of carrying an aerosol container, comprising: a discharge unit with a discharge outlet for discharging contents of the aerosol container from the discharge outlet; a camera capable of capturing footage of the discharge range of the contents; an information acquiring unit for acquiring predetermined information; and an estimation unit for estimating an estimated landing position of the contents based on information obtained by the information acquiring unit. The unmanned aerial vehicle may include a camera capable of capturing footage of a discharge range of the contents; and a coupling unit that is couple with the camera and is a posture control mechanism with rotational degrees of freedom to change a posture.

An example method that includes receiving, by a computing device, a geometry of the component that includes a plurality of locations on a surface of the component; determining, by the computing device, a respective target thickness of the coating for each respective location of the plurality of locations based on a target coated component geometry and the geometry of the component; and determining, by the computing device, a number of passes or velocity of a coating device for each respective position of a plurality of positions to achieve the respective target thickness for each respective location.

An example method that includes receiving a first geometry of a component in an uncoated state and a second geometry of the component in a coated state; determining a first difference between the second geometry and a first simulated geometry based on the first geometry and a first spray law comprising a plurality of first spray law parameters; iteratively adjusting at least one first spray law parameter to determine a respective subsequent spray law; iteratively determining a respective subsequent difference between the second geometry and a subsequent simulated geometry based on the first geometry and the subsequent respective spray law; selecting a subsequent spray law from the respective subsequent spray laws based on the respective subsequent differences; and controlling a coating process based on the selected subsequent spray law.

An example method that includes receiving a geometry of a component that includes a plurality of locations on a surface of the component; determining a first target trajectory including a first plurality of target trajectory points and a second target trajectory including a second plurality of target trajectory points, the first and second trajectories offset in a first direction, and the first and second plurality of trajectory points offset in a second direction; determining a respective target coating thickness of the coating based on a target coated component geometry and the geometry; and determining a respective motion vector of a coating device based on the first and second target trajectories to deposit the respective target coating thickness.

An example method that includes receiving a geometry of an uncoated component and a measured coating thickness of a coated test; determining a simulated coating thickness based on the geometry and a first spray law including a plurality of first spray law parameters; determining a difference between the simulated coating thicknesses and the measured coating thickness; iteratively adjusting at least one first spray law parameter to determine a respective subsequent spray law and determining a respective subsequent difference between the measured coating thickness and a subsequent simulated coating thickness based on the geometry and the respective subsequent spray law; selecting a subsequent spray law from the plurality of respective subsequent spray laws based on the respective subsequent differences; and controlling a coating process based on the selected subsequent spray law to compensate for the difference.

A crop input applicator is provided. The crop input applicator monitors the presence of applied liquid crop in a seed trench and/or the relative placement of liquid crop and seed in a seed trench. In another aspect, the crop input applicator minimizes an offset between the liquid crop and seed placement.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

A coating system applied for coating a target coating area with a coating material is disclosed. The coating system includes a carrier device, a coating structure and a control device. The coating structure is movably arranged on the carrier device. The control device controls the coating structure and has information corresponding to the target coating area, and the control device drives the coating structure according to the information to coat the target coating area with the coating material. The present invention further provides a method of use of a coating system.

A method for modelling a coating process including a plurality of coating parameters, includes the steps of: dispensing, by the coating process and during K work cycles, a coating on each of K pieces of objects to thereby obtain K pieces of coatings; recording, during each of the K work cycles, coating variable values of p coating parameters at M instances to thereby obtain recording results; and measuring at least one coating property at m locations of each of the K pieces of coatings to thereby obtain measurement results. The method is characterized by the step of determining a digital twin of the coating process on the basis of the recording results and the measurement results. By using results from a large amount of classical quality control measurements together with corresponding coating parameter information, a digital twin of the coating process can be determined through statistical processing of such big data. The digital twin) may be used either for automatic adjustment of the coating parameters to obtain an improved coating quality, for prediction of the coating quality right after a work cycle to obtain an improved quality control, or for both.