Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems
JSSS
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/jsss-13-63-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/jsss-13-63-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Regular research article
 | 
04 Apr 2024
Regular research article |  | 04 Apr 2024

Cutout as augmentation in contrastive learning for detecting burn marks in plastic granules

Muen Jin and Michael Heizmann

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Short summary
Our research introduces an innovative method to improve the quality control of plastic granules, crucial in industries like manufacturing and automotive. We addressed a common issue: identifying "burn marks" on granules caused by overheating during processing. By combining advanced machine learning and a novel data augmentation technique called "cutout", we significantly enhanced the detection accuracy of these defects.
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