US 12,214,601 B2
Detecting a defective nozzle in a digital printing system
Boris Levant, Rehovot (IL); Shai Silberstein, Nes Ziona (IL); Tomer Yanir, Mazkeret Batya (IL); Avraham Guttman, Yavne (IL); and Alon Siman Tov, Or Yehuda (IL)
Assigned to Landa Corporation Ltd., Rehovot (IL)
Appl. No. 17/921,359
Filed by LANDA CORPORATION LTD., Rehovot (IL)
PCT Filed May 12, 2021, PCT No. PCT/IB2021/054037
§ 371(c)(1), (2) Date Oct. 26, 2022,
PCT Pub. No. WO2021/234509, PCT Pub. Date Nov. 25, 2021.
Claims priority of provisional application 63/026,054, filed on May 17, 2020.
Prior Publication US 2023/0264483 A1, Aug. 24, 2023
Int. Cl. B41J 2/21 (2006.01); G06N 3/0464 (2023.01); G06T 7/00 (2017.01)
CPC B41J 2/2142 (2013.01) [G06N 3/0464 (2023.01); G06T 7/0004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for detecting a defective part (DP) in a digital printing system (DPS), the method comprising:
receiving a first digital image (FDI) to be printed by the DPS;
in a training phase:
producing, for one or more first selected regions in the FDI, a first set of one or more synthetic images having a defect caused by the DP in the one or more first selected regions;
selecting, based on a predefined selection criterion, the first selected regions that comprise features for training a neural network (NN); and
training the NN to detect the defect using at least one of the synthetic images of the first set; and
in a detection phase that is subsequent to the training phase:
applying the trained NN for identifying, in a second digital image (SDI) acquired from a printed image produced by the DPS, one or more second regions suspected of having the defect;
producing, for each of the second regions, a second set of one or more synthetic images having one or more DPs producing respectively one or more of the defects; and
identifying at least the DP by comparing, in each of the second regions, between the SDI and the one or more synthetic images of the second set.