Landa Corporation Ltd.

Tomer Yanir

Boris Levant

Shai Silberstein

Alon Siman Tov

Avraham Guttman

A method includes, receiving a first digital image (FDI) to-be printed by a digital printing system (DPS) (). In a in training phase: for first selected regions () in the FDI, a first set of synthetic images (SIs) (A,B,A,B,A,B) having a defect caused by a defective part (DP) () in the first selected regions, is produced; a neural network (NN) () is trained to detect the defect using the first set SIs. In a subsequent detection phase: the NN is applied for identifying, in a second digital image (SDI) () acquired from an image produced by the DPS, suspected second regions (); for each of the second regions, a second set () of SIs having DPs that form the defects, is produced; and the DP is identified by comparing, in each of the second regions, between the SDI and the second set SIs.

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Mazkeret Batya, Israel

Tomer Yanir