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

Author:

Salimian Ali1,Onwukwe Uchechukwu2

Affiliation:

1. Department of Computer Science, School of Engineering, London Southbank University, 103 Borough Road, London SE1 0AA, UK

2. Experimental Techniques Centre, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK

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.

Publisher

MDPI AG

Subject

Materials Chemistry,Surfaces, Coatings and Films,Surfaces and Interfaces

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