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Title: | Development of a Transparent Thermal Reflective Thin Film Coating for Accurate Separation of Food-Grade Plastics in Recycling Process via AI-Based Thermal Image Processing |
Authors: | Salimian, A Onwukwe, U |
Keywords: | thermal imaging;infrared;sputtering;computer vision;plastic recycling |
Issue Date: | 28-Jul-2023 |
Publisher: | MDPI |
Citation: | Salimian, A. and Onwukwe, U. (2023) 'Development of a Transparent Thermal Reflective Thin Film Coating for Accurate Separation of Food-Grade Plastics in Recycling Process via AI-Based Thermal Image Processing', Coatings, 13 (8), 1332, pp. 1 - 16. doi: 10.3390/coatings13081332. |
Abstract: | This paper presents the development of a specific thin film coating designed to address the challenge of accurately separating food-grade plastics in the recycling process. The coating, created using a plasma sputtering process, is transparent to the visible spectrum of light while effectively reflecting infrared emissions above 1500 nm. Composed of a safe metal oxide formulation with a proprietary composition, the coating is applied to packaging labels. By employing thermal imaging and a computer vision AI model, the coated labels enable precise differentiation of plastics associated with food packaging in the initial stage of plastic recycling. The proposed system achieved a remarkable 100% accuracy in separating food-grade plastics from other types of plastics. This innovative approach holds great potential for enhancing the efficiency and effectiveness of plastic recycling processes, ensuring the recovery of food-grade plastics for future use. |
Description: | Data Availability Statement: All data that support the findings of this study are included within the article. |
URI: | https://bura.brunel.ac.uk/handle/2438/29945 |
DOI: | https://doi.org/10.3390/coatings13081332 |
Other Identifiers: | ORCiD: Uche Onwukwe https://orcid.org/0000-0003-3289-6908 1332 |
Appears in Collections: | The Experimental Techniques Centre |
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