Interpretable image features for anomaly identification on hexagonal net knitting machines

Tetsuo Imai, Shoya Ogawa, Nobuyuki Yonaga, Kazuki Fukae, Kenichi Arai, Toru Kobayashi. Interpretable image features for anomaly identification on hexagonal net knitting machines. In 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, September 6-9, 2022. pages 1-8, IEEE, 2022. [doi]

References

No references recorded for this publication.

Cited by

No citations of this publication recorded.