Abstract
Multi-sensor imaging option consisting of infrared (TIR), near infrared hyper-spectral (NIR HS) and red-green-blue (RGB) sensors was demonstrated to confirm the ability of the sensors to detect the floating debris and differentiate plastic from organic material in a realistic river environment. A drone and a fixed installation were utilised. The target objects were typical plastic products used in the households and the organic material consisted of pieces of wood and branches. The results suggest that multi-imaging with NIR HS, TIR and RGB sensors is a promising method for separating floating plastic waste from organic material. Further efforts will be targeted in possibility to distinguish different plastic types from each other and how this process could by applied by utilising machine learning methods.
Original language | English |
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Title of host publication | Thermosense: Thermal Infrared Applications XLIV conference |
Editors | Arantza Mendioroz, Nicolas P. Avdelidis |
Publisher | International Society for Optics and Photonics SPIE |
Number of pages | 7 |
ISBN (Electronic) | 9781510650947 |
DOIs | |
Publication status | Published - 27 May 2022 |
MoE publication type | Not Eligible |
Event | SPIE Defense + Commercial Sensing 2022 - Orlando, United States Duration: 27 Jun 2022 → 27 Jun 2022 |
Publication series
Series | Proceedings of SPIE |
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Volume | 12109 |
ISSN | 0277-786X |
Conference
Conference | SPIE Defense + Commercial Sensing 2022 |
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Country/Territory | United States |
City | Orlando |
Period | 27/06/22 → 27/06/22 |
Funding
The authors would like to express their gratitude to Huhtamäki Oyj, sustainable food packaging company, who sponsored the project. Also, the project partners Riverrecycle Oy and Earth5R provided insights to the challenging task of floating waste monitoring. This work is also part of the Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision 320168.
Keywords
- Drone
- hyperspectral imaging
- multi-sensor
- NIR
- plastic waste
- RGB
- TIR