Evaluation of the quality of welds through two main approaches: 1) Image analysis, where artificial vision combined with deep learning is used to classify the welds according to their suitability, as well as identify and segment defects such as pores or lack of fusion. 2) Data processing collected through a laser profilometer, where the penetration of a weld bead is predicted based on its visible face or part, thus avoiding piece cuts or non-destructive techniques for its evaluation.
Computer vision-based inspection system
Profilometer for joint tracking and geometry inspection.
Defect detection through optical vision.
Processing of data captured by profilometry system
LORTEK S.C.
Contact person: Maitane Ipiñazar
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