Teat detection algorithm: YOLO vs. Haar-cascade

In this study we have developed and experimented with two methods of teat detection based on machine learning approach in image recognition and object detection. Automatic milking systems rely strongly on the vision system for successful milking operation initiation which is the attachment of the te...

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Veröffentlicht in:	Journal of mechanical science and technology Jg. 33; H. 4; S. 1869 - 1874
Hauptverfasser:	Rastogi, Akanksha, Ryuh, Beom Sahng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Seoul Korean Society of Mechanical Engineers 01.04.2019 Springer Nature B.V 대한기계학회
Schlagworte:	Algorithms Control Dynamical Systems Edge detection Engineering Image processing Indoor environments Industrial and Production Engineering Machine learning Machine vision Mechanical Engineering Neural networks Object recognition Vibration Vision systems 기계공학 YOLO Automatic milking systems Haar-cascade Teat detection
ISSN:	1738-494X, 1976-3824
Online-Zugang:	Volltext
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