The increasing use of unmanned aerial vehicles (drones) and their availability also provide new opportunities for the development of thermal imaging applications. This presentation presents the current applications of some research and development units in Finland and also reflects on the requirements that aerial thermal imaging places on the operation of thermal imagers.
In European Union project called S34I, VTT and Smaps Oy together with project consortium partners develop novel in-situ data acquisition methods at both land and shallow waters for mining industry purposes. The goal is to build for example short-wavelength infrared range spectral libraries to be used as ground truth or calibration of Earth observation related methods.
Monitoring and verification of structural changes in mining areas is necessary for mining operators - especially in terms of what events are taking place in the mining area and tailing ponds. Emptying or enriching a pond requires up-to-date information on the shape of the pond and amount of contained material. Increasing accurate measurements interests mining operators. Novel monitoring technologies include possibility of imaging spectroscopic optical measurements - such as hyperspectral imaging - with drone-based scanning feature. At Pyhäsalmi Mine in Finland, we established field trials with drone-based near-infrared multispectral imaging of mine tailing ponds and their dam structures. These field trials were part of the European Union’s Horizon 2020 project called ‘Goldeneye’, which aims to develop a data-acquisition and processing platform combining remote sensing and positioning technologies to produce actionable intelligence for mine operators.
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 shortwavelength 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’ 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-foryou fablab solutions.
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