Cotton Fiber Moisture Quantification

An IR-based Machine Vision System for Objective Quantification of Moisture Transport in Fabrics 

Real-life video demo of project

This IR-based computer vision system uses image processing techniques to estimate wicking, static, and drying periods of moisture in cotton fabrics. The system captures a thermal image (infrared) of a piece of fabric. The algorithm finds a region of interest on the captured image and segments the area that contains moisture. Wicking, static, and drying periods are recorded, and Area-Time Profiles plots are created using those numbers. An example can be seen below:

After several runs of the experiment, a model for moisture transport behavior was established for control and treated fabric. The features created from the data were wicking rate, wicking duration, static average area, static duration, drying rate and drying duration:

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 Sponsor: Cotton incorporated