Multi-sensor infrared imaging for floating waste monitoring

Jukka Sassi (Corresponding author), Sami Siikanen, Thomasine Kamerling, Anssi Mikola, Saurabh Gupta

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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 languageEnglish
Title of host publicationThermosense: Thermal Infrared Applications XLIV conference
EditorsArantza Mendioroz, Nicolas P. Avdelidis
PublisherInternational Society for Optics and Photonics SPIE
Number of pages7
ISBN (Electronic)9781510650947
DOIs
Publication statusPublished - 27 May 2022
MoE publication typeNot Eligible
EventSPIE Defense + Commercial Sensing 2022 - Orlando, United States
Duration: 27 Jun 202227 Jun 2022

Publication series

SeriesProceedings of SPIE
Volume12109
ISSN0277-786X

Conference

ConferenceSPIE Defense + Commercial Sensing 2022
Country/TerritoryUnited States
CityOrlando
Period27/06/2227/06/22

Keywords

  • Drone
  • hyperspectral imaging
  • multi-sensor
  • NIR
  • plastic waste
  • RGB
  • TIR

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