US 12,333,699 B2
Method and computer program product for automated defect detection during borescoping of an engine
Wiebke Hubert, Hamburg (DE); Jan Oke Peters, Hamburg (DE); Eva Lang, Offenbach am Main (DE); Matthias Platho, Mainz (DE); and Alexander Appel, Woellstadt (DE)
Assigned to LUFTHANSA TECHNIK AG, Hamburg (DE)
Appl. No. 17/638,215
Filed by Lufthansa Technik AG, Hamburg (DE)
PCT Filed Aug. 26, 2020, PCT No. PCT/EP2020/073808
§ 371(c)(1), (2) Date Feb. 25, 2022,
PCT Pub. No. WO2021/037885, PCT Pub. Date Mar. 4, 2021.
Claims priority of application No. 19194447 (EP), filed on Aug. 29, 2019.
Prior Publication US 2022/0245785 A1, Aug. 4, 2022
Int. Cl. G06T 7/00 (2017.01); G01N 21/892 (2006.01)
CPC G06T 7/0004 (2013.01) [G01N 21/892 (2013.01); G01N 2021/8924 (2013.01); G06T 2207/30164 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for automated defect detection during borescoping of an engine, in which a video borescope is inserted into the engine in such a way that, during rotation of an engine shaft, engine blades of an engine stage which are secured to the engine shaft are moved successively through the image region of the video borescope, the method comprising:
identifying a possible defect on an engine blade by image recognition on the basis of a frame generated by the video borescope;
detecting the movement of the engine blades in the image region of the video borescope by comparing in each case two successive frames;
tracking the possible defect on the video image along the detected movement by optical image recognition on the basis of the successive frames used for detecting the movement; and
in a condition where a trace of the possible defect on the video image corresponds to the detected movement in terms of direction and speed over a predefined length, identifying the possible defect as an actual defect.