US 12,361,706 B2
Device and method for processing at least one work area with a processing tool
Robert Bücher, Raisting (DE); Nick Jagiella, Munich (DE); Frank Schröder, Munich (DE); and Konrad Zürl, Schwarzenbruck (DE)
Assigned to Advanced Realtime Tracking GmbH & Co. KG, Weilheim (DE)
Appl. No. 17/291,052
Filed by Advanced Realtime Tracking GmbH & Co. KG, Weilheim (DE)
PCT Filed Nov. 4, 2019, PCT No. PCT/EP2019/080080
§ 371(c)(1), (2) Date May 4, 2021,
PCT Pub. No. WO2020/094558, PCT Pub. Date May 14, 2020.
Claims priority of application No. 10 2018 127 518.8 (DE), filed on Nov. 5, 2018.
Prior Publication US 2021/0358110 A1, Nov. 18, 2021
Int. Cl. G06T 7/00 (2017.01); G06F 18/241 (2023.01); G06V 10/50 (2022.01); G06V 20/10 (2022.01)
CPC G06V 20/10 (2022.01) [G06F 18/241 (2023.01); G06T 7/0004 (2013.01); G06V 10/50 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30164 (2013.01); G06V 2201/06 (2022.01)] 25 Claims
OG exemplary drawing
 
1. A device comprising:
a machining tool for machining at least one working area of an object;
an image-capturing device configured for generating at least one image of the at least one working area;
at least one sensor configured for generating sensor data during machining of the at least one working area;
an evaluation unit comprising a computing model configured for identifying, with the at least one image and/or the sensor data, a relative position of the machining tool with respect to the working point or with respect to the at least one working area and/or a situation during machining of the at least one working area;
a simulation system configured for simulating the at least one working area for generating the at least one image, generating the sensor data and/or generating at least one classifier; and
a control unit connected to the machining tool and/or the evaluation unit, the control unit configured to control a state of a tool component of the machining tool that interacts with the at least one working area to perform an action based on the generated sensor data during machining of the at least one working area and the simulation of the at least one working area;
wherein the computing model has been trained by way of machine learning on the basis of images of working areas and sensor data;
wherein the image-capturing device and the at least one sensor are arranged on the machining tool;
wherein the image capturing device and the tool component of the machining tool that interacts with the working area are positioned on the machining tool for movement together on the machining tool; and
wherein the image-capturing device comprises at least one lens, the at least one lens is arranged such that at least one optical axis of the at least one lens intersects a working point at which the machining tool acts on the at least one working area and/or the at least one optical axis of at least one lens extends parallel to an action axis along which the machining tool acts on the at least one working area; and/or
wherein the at least one sensor is arranged such that at least one detection axis of the at least one sensor intersects a working point at which the machining tool acts on the at least one working area, and/or the at least one detection axis of the at least one sensor extends parallel to an action axis along which the machining tool acts on the at least one working area.