Bernhard Gessler’s scientific contributions

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Publications (1)

Figure 2: 3D scatter plot of identification features
Figure 1: Handheld Discrete Spectrometer #reremeter
Measurement Sample Overview
Identification of Plastic Types Using Discrete Near Infrared Reflectance Spectroscopy
  • Preprint
  • File available

December 2019

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Bernhard Gessler

This paper presents a low-cost and handheld system for the identification of plastic types based on discrete near infrared (NIR) reflectance spectroscopy. For identification among different types, a method based on machine learning is introduced. The current capability of the system includes differentiation between polyethylene terephthalate (PET), high density polyethylene (HDPE), polypropylene (PP) and polystyrene (PS). Accurate detections of the machine learning model are demonstrated within the constraints of the current solution. Finally, improvements to the setup are suggested.

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