کنفرانس بین المللی فناوری اطلاعات و دانش

صفحه اصلی / شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Designation and development of Camera Sensor for identification of polymer type

نویسندگان :

Negin Piri¹ Ahmad Salehi² Erfan Memarian³

1- شرکت سرمایه گذاری و توسعه صنایع لاستیک 2- شرکت سرمایه گذاری و توسعه صنایع لاستیک 3- شرکت سرمایه گذاری و توسعه صنایع لاستیک

کلمات کلیدی :

Camera Sensor،Polymer Detection،UV radiation،Image Processing

چکیده :

Fast and accurate identification of polymer type in unknown samples, such as granules, fibers, yarns, fabrics and polymeric parts, is an important issue in industry, which is accomplished using experimental methods such as spectrophotometric and microscopic methods, as well as measuring the physical and thermal characteristics of polymer, or by the means of chemical methods such as dissolution and dyeing/tinting. On the other hand, substantial use of chemical substances may lead to serious health and environmental issues. Therefore, this study aims to introduce a promising clean, fast and facile approach in identification of polymeric materials that enables industry to intelligent switch of traditional process with predictive power of software tools. A special focus has been done on textile polymeric fibers and yarns. In order to tackle described issues, polymeric materials have been irradiated under ultraviolet (UV) light source. As a result, an augmented color difference appears between different polymer types. Created color difference was then, detected using a digital camera sensor, which works based on principals of image processing technique in python environment. Experimental results showed good potential of using optical tools in polymer detection approaches.