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2026-10-22, Week 43
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Virual Oral Question and Answer
IEEE/ICACT20240043 Question.1
Questioner: arifulislamro@gmail.com    2024-02-05 오전 8:21:39 		IEEE/ICACT20240043 Answer.1
Answer by Auhor marisan@etri.re.kr   2024-02-05 오전 8:21:39
How did the developed algorithm utilizing camera footage contribute to enhancing the quality control of additive manufacturing processes, and how robust is it in detecting anomalies, particularly considering the simulated rare abnormal conditions in your study? We constructed an anomaly detection dataset for nine unusual situations, and for all these cases, our proposed method demonstrated a robust performance of over 97%, in contrast to the typical methods which showed performances in the 50% to 80% range. Additionally, the camera system we constructed enabled the implementation of our proposed method. This means that the input images received a signal regarding the phase changes of 3D printing, allowing the system to use four different images corresponding to these stages as inputs.

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