Estimating the viscosity of textile materials

According to an example aspect of the present invention, there is provided a method comprising determining at least one hyperspectral image of at least one calibration cellulose-based textile sample and an average spectrum of at least some pixels of each hyperspectral image of each of at least one calibration cellulose-based textile sample, retrieving a corresponding reference viscosity for each of the at least one calibration cellulose-based textile sample, determining a mathematical model by associating the determined average spectrum of each hyperspectral image of each of the at least one calibration cellulose-based textile sample to the corresponding reference viscosity, estimating a viscosity of each calibration cellulose-based textile sample based on the mathematical model, evaluating the mathematical model by comparing each estimated viscosity to the corresponding reference viscosity of each of the at least one calibration cellulose-based textile sample and determining, upon positive evaluation, an estimated viscosity of at least one target cellulose-based textile sample from a hyperspectral image of the at least one target cellulose-based textile sample using the mathematical model.

Patent family as of 17.7.2026
EP4526657 A1, FI131193 B, FI20225430 A, WO23222945 A1