ML-TN-004 — Machine Learning, spectroscopy, and materials classification

Info Box Applies to Machine Learning Applies to Machine Learning Technical Notes

History

Version	Date	Notes
1.0.0	October 2021	First public release

Introduction

Classification and detection of materials is another interesting use case where Machine Learning opens the doors for promising developments. In this Technical Note (TN), different embedded platforms

References

• Hadi Parastara, Geert van Kollenburgb, Yannick Weesepoelc, André van den Doelb, Lutgarde Buydensb, Jeroen Jansen, Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity, 2020
• N. Salamati, C. Fredembach, S. Susstrunk, Material Classification Using Color and NIR Images, 2009
• Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. Kemp1, Zackory Erickson1, Nathan Luskey1, Sonia Chernova2, and Charles C. Kemp1, 2019