Sorting Textiles for Recycling
Using the MV.C NIR and the perClass Mira Stage and Software (Application Note)
Traditional textile sorting methods are prone to errors with fabrics that have similar densities and air resistances. Chemical sorting offers high accuracy, but requires destruction of the current materials, and is unavailable for some fabrics (such as wool).
Other sensors that rely on RGB or multispectral imaging only offer a glimpse into the spectral nature of the different fabrics, and fail to adequately sort through fabrics of different textures. The ideal solution for this challenge would be a non-contact classifier that can sort the different fabrics and blends at high speeds. With Headwall’s hyperspectral imaging (HSI) sensors, and perClass Mira’s machine learning software, Headwall provides a potential solution to this problem.
Did you miss the Textiles Sorting webinar?
Don’t worry, we have a recording!
Our webinar on identifying textiles destined for recycling using the MV.C NIR Hyperspectral Sensor and perClass Mira Software was held February 15th at 9am EST.
This is a hot topic, especially in Europe, where the European Commission is proposing mandatory textile-recycling responsibilities in all EU Member States. Previous rules have been successful in improving the management of waste from products such as batteries and electronic equipment.
The panelists were Will Rock, Ph.D, Product Manager, Machine Vision; and George Killian, Applications Scientist. There was a live introduction, application presentation, and Q&A.
