@inproceedings{fb9a3c4aa2b243d58f85317eec6a8b09,
title = "Examining short-wavelength infrared hyperspectral imaging for do-it-yourself-for-you laundry detergent powder fablab quality control",
abstract = "Do-it-yourself-for-you fablabs, autonomous mini factories responding to customer specific needs, require advanced cost efficient measurement systems for validating quality of end product. An example of end product is laundry detergent powder. The customer chooses raw materials with preferences related to for example odor, health and environmental aspects. Thus, the raw materials vary in each mixture. Operational risks include customized laundry detergent powder product missing a desired compound. To mitigate this risk, verification of each raw material existence in the mixture is essential. According to previous studies, optical measurement such as spectroscopy in short-wavelength infrared range is one promising way to identify raw materials in laundry detergent powders. For proving feasibility, we examined short-wavelength infrared hyperspectral imaging of laundry detergent powder samples - final products and raw materials. Additionally, we tested liquid soap samples with same method and experimental setup as in the detergent powder samples{\textquoteright} case. This study shows, that existence of desired raw materials can be verified from detergent powder with short-wavelength infrared imaging. Final testing of customized laundry detergent powder product avoiding desired compound absence failure is enabled by spectroscopic measurement and analysis. Liquid soap is more challenging test subject because of strong water absorption in the short-wavelength infrared range. Further studies should cover testing and comparing more optical measurement and analysis methods for finding accurate and affordable do-it-yourself-for-you fablab solutions.",
keywords = "SWIR, infrared, hyperspectral imaging, DIY4U, laundry detergent, fablab, quality control",
author = "Sami Siikanen and Marko Savolainen and Michael Groombridge and Chandana Ratnayake and Srivastava, {Akhilesh Kumar} and Timo Kauppinen and Marko Paavola",
note = "Funding Information: The measurement concept work and experiments of hyperspectral imaging reported in this presentation were carried out in project called “Open Innovation Digital Platform & Fablabs for Collaborative Design & Production of Personalised Fast moving Consumer Goods – DIY4U”. The DIY4U project has received funding from the European Union{\textquoteright}s Horizon 2020 innovation programme under grant agreement number: 870148. This work is also part of the Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision 320168.; SPIE Defense + Commercial Sensing : Online ; Conference date: 12-04-2021 Through 17-04-2021",
year = "2021",
month = apr,
day = "12",
doi = "10.1117/12.2587631",
language = "English",
series = "Proceedings of SPIE",
publisher = "International Society for Optics and Photonics SPIE",
booktitle = "Thermosense",
address = "United States",
}