The present disclosure provides a system, apparatus and method for generating randomly aligned fiber beards for evaluation. The system comprises abase and an x-axis frame member couples to and is positioned parallel to the base. A y-axis frame member is couple to and positioned perpendicular to the base. A sample plate is removably coupled to the y-axis frame member and defines one or more holes. A fiber clamp couples to and is movable by the x-axis frame member perpendicularly to the sample plate.

A defect inspection system is disclosed, and comprises a linear light source, N number of cameras, a display device, a tag reader, and a modular electronic device, in which the linear light source, the cameras and the modular electronic device are used for conducting a defect inspection of an article. On the other hand, the display device, the tag reader and the modular electronic device are adopted for conducting in production of at least one labeled example. Therefore, the modular electronic device is allowed to apply a machine learning process to an image classifier under using a training dataset containing the labeled examples, thereby producing at least one new defect recognition model or updating the existing defect recognition model.

A system for evaluating a distribution of fiber bundles in a fiber reinforced material by three-dimensional vector data of the fiber bundles is provided with: a calculator configured to divide the fiber reinforced material into a plurality of three-dimensional cells, selecting data respectively belonging to the cells, and averaging the selected data to calculate reference vector data; and a display configured to display the reference vector data two-dimensionally or three-dimensionally.

A system for evaluating a distribution of fiber bundles in a fiber reinforced material by three-dimensional vector data of the fiber bundles is provided with: a calculator configured to divide the fiber reinforced material into a plurality of three-dimensional cells, selecting data respectively belonging to the cells, and averaging the selected data to calculate reference vector data; and a display configured to display the reference vector data two-dimensionally or three-dimensionally.

A method evaluating a strength of a textile for use in articles of clothing representative of normal wear and tear and comprising testing samples including the textile treated with an application of polyethylene, the untreated textile, and/or the textile being washed and dried one or more times; and/or where the textile has been conditioned. Each sample tested is weighed prior to and after abrasion resistance testing is conducted on each sample. The samples are each abraded with an abrasion resistance testing machine that has been modified with ISO test heads and an abrasive surface having a plurality of abrasion layers thereon. A number of rubs of abrasion between the abrasive surface and the test sample is pre-selected such that the test is run until the selected number of rubs have been completed. A bursting strength test can be further conducted on abraded areas of the testing samples.

A method for identifying carpet materials includes receiving, by a controller coupled to an NIR spectrometer, a predetermined number of NIR measurements of a sample of the carpet material conducted over a bandwidth of a subset of a full NIR spectrum. The NIR spectrometer performs the NIR measurements under control of the controller. Also, sending the NIR measurements to a remote identification server including a spectra library of known carpet materials. The method also includes receiving a matching result from the remote identification server, sending the matching result to a remote appraisal server, and receiving an appraised value of the carpet material.

A method for identifying carpet materials includes receiving, by a controller coupled to an NIR spectrometer, a predetermined number of NIR measurements of a sample of the carpet material conducted over a bandwidth of a subset of a full NIR spectrum. The NIR spectrometer performs the NIR measurements under control of the controller. Also, sending the NIR measurements to a remote identification server including a spectra library of known carpet materials. The method also includes receiving a matching result from the remote identification server, sending the matching result to a remote appraisal server, and receiving an appraised value of the carpet material.

Disclosed are fibers which contain identification fibers. The identification fibers can comprise one or more chemical markers, or taggants, which may vary among the fibers or be incorporated throughout all of the fibers. The disclosure also relates to the method for making and characterizing the fibers. Characterization of the fibers can include identifying chemical markers and correlating the chemical markers and a taggant chemical marker amounts of at least one of the chemical markers to manufacturer-specific taggants to determine supply chain information. The supply chain information can be used to track the fibers from manufacturing through intermediaries, conversion to final product, and/or the consumer.

Disclosed are fibers which contain identification fibers. The identification fibers can comprise one or more chemical markers, or taggants, which may vary among the fibers or be incorporated throughout all of the fibers. The disclosure also relates to the method for making and characterizing the fibers. Characterization of the fibers can include identifying chemical markers and correlating the chemical markers and a taggant chemical marker amounts of at least one of the chemical markers to manufacturer-specific taggants to determine supply chain information. The supply chain information can be used to track the fibers from manufacturing through intermediaries, conversion to final product, and/or the consumer.

The invention relates to a method for monitoring the quality of a yarn on a textile machine, wherein the yarn passes a monitoring unit of the textile machine, with the aid of which at least one measured variable (M) which is dependent on a physical parameter of the yarn is determined, and wherein the measured variable (M), or a variable derived therefrom, is evaluated with respect to the position thereof with regard to at least one reference value (R). According to the invention, it is proposed that the selection of the reference value(s) (R) takes place taking into account one or more characteristic variables of the yarn, said characteristic variables being yarn-specific and defined prior to evaluating the measured variable (M). Furthermore, a textile machine is proposed which comprises at least one monitoring unit for monitoring at least one physical parameter of the yarn, and at least one controller which is operatively connected to the monitoring unit. The textile machine is characterized in that the controller is configured to monitor the yarn quality according to one or more of the preceeding claims.