JURAJ FULIR

(INSPECTION PLANNING VIRTUAL INSPECTION PLANNING RESEARCH GROUP, IMAGE PROCESSING DEPARTMENT, FRAUNHOFER ITWM)
hosted by Ph.D. Program in CS @ TU KL

"INSPECTING INDUSTRIAL SURFACES WITH SYNTHETIC DATA USING COMPUTER GRAPHICS"

Abstract der Arbeit: Industrial surface inspection focuses on defect-recognition in product surfaces for the manufacturing and maintenance industry. The task is complicated by requirements of high accuracy, throughput, and robustness to offsets. Deep learning is a good choice for this task, but it is impeded by a lack of training data, as defects are rare occurrences. Synthetic data generated using computer graphics is a viable substitute for real data. However, some problems still need to be addressed to increase model robustness and reduce the biases embedded in the synthetic data generator.

Time:	Thursday, 15.06.2023, 09:00
Place:	Blechhammer Hotel-Restaurant in Kaiserslautern

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