Presentation + Paper
27 May 2022 Multi-sensor infrared imaging for floating waste monitoring
Author Affiliations +
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.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jukka Sassi, Sami Siikanen, Thomasine Kamerling, Anssi Mikola, and Saurabh Gupta "Multi-sensor infrared imaging for floating waste monitoring", Proc. SPIE 12109, Thermosense: Thermal Infrared Applications XLIV, 1210909 (27 May 2022); https://doi.org/10.1117/12.2616564
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KEYWORDS
Sensors

Infrared imaging

Near infrared

Cameras

Organic materials

Reflection

COTS multisensors

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