US 11,857,987 B1
Systems and method for painting using drones
Damien Stolarz, Los Angeles, CA (US); Zack Gainsforth, Los Angeles, CA (US); and David Diaz, Clearwater, FL (US)
Assigned to RobotArmy, Inc., Los Angeles, CA (US)
Filed by RobotArmy, Inc., Los Angeles, CA (US)
Filed on Mar. 5, 2020, as Appl. No. 16/810,817.
Claims priority of provisional application 62/823,376, filed on Mar. 25, 2019.
Int. Cl. B64D 47/08 (2006.01); B64U 10/13 (2023.01); B64U 101/00 (2023.01); B64U 101/30 (2023.01); B05B 12/12 (2006.01); B05B 13/00 (2006.01); B64C 39/02 (2023.01)
CPC B05B 12/122 (2013.01) [B05B 13/005 (2013.01); B64C 39/022 (2013.01); B64C 39/024 (2013.01); B64D 47/08 (2013.01); B64U 10/13 (2023.01); B64U 2101/00 (2023.01); B64U 2101/30 (2023.01); B64U 2201/202 (2023.01)] 11 Claims
OG exemplary drawing
 
1. A system for performing painting using an unmanned aerial vehicle, the system comprising:
an unmanned aerial vehicle comprising a main body having a plurality of arms extending outward from the main body, a plurality of nozzles, a microprocessor, a comparator coupled to the microprocessor, a memory, a transceiver, at least one camera, a bump map sensor configured to determine texture, roughness and curvature of a surface of a building, at least one software module, a plurality of paint containers, an IR sensor configured to determine the wetness of paint, a spectroscopic sensor configured to analyze paint composition and application, a plurality of structured light emitters configured to test surface deformities, lidar, and a plurality of blades for flight, each of the plurality of blades positioned on a corresponding arm of the plurality of arms, wherein each of the plurality of paint containers is positioned on an underside of the main body away from the plurality of blades and in flow communication with a corresponding nozzle of the plurality of nozzles; and
a user computing device in communication with the unmanned aerial vehicle and comprising a software module to monitor usage;
wherein the comparator is configured to compare a first plurality of images taken by the at least one camera of the unmanned aerial vehicle before and a second plurality of images taken by the at least one camera of the unmanned aerial vehicle after a cleaning protocol of a building to be painted to ensure that the cleaning protocol achieves a desired result without damage;
wherein the at least one software module is configured to separate various layers of painting and create an additive layered painting plan, to make layers when a set of spot paints are used, and to predict a mixture of two thin colors and a result of the mixture of the two colors;
wherein the comparator is configured to detect the difference between dirt and an image through a particle detection or obstacle detection technique;
wherein the unmanned aerial vehicle is configured to paint a building using the plurality of nozzles and paint from the plurality of paint containers.