A flaw detecting apparatus and a method for a plane mirror based on line scanning and ring band stitching are provided. The flaw detecting apparatus comprises: a line scanning detector, an annular illumination source, a rotary table rotatable about a Z axis, a translation table translatable along an X axis and a processor. By translating and rotating the plane mirror to be detected, an entire surface of the plane mirror to be detected can be detected by the line scanning detector, and the flaw of the entire plane mirror to be detected is obtained by a ring band stitching method. The method of line scanning and ring band stitching reduces the imaging distortion, the intermediate data amount, the difficulty in the distortion correction and difficulty in stitching, and improves the detection speed and the detection quality.

Described is a system for managing and controlling fabrics comprising: a first station for moving a fabric, a second station for moving said fabric operatively connected to said first station, a light source positioned in an intermediate position between said first station and said second station configured for illuminating from the bottom upwards a predetermined portion of said fabric, an optical device for acquiring an image or a video of said predetermined portion of said fabric, a data processing and storage unit connected to said optical device and configured to associate with said image or video of said predetermined portion of said fabric identification information of said fabric.

Described is a system for managing and controlling fabrics comprising: a first station for moving a fabric, a second station for moving said fabric operatively connected to said first station, a light source positioned in an intermediate position between said first station and said second station configured for illuminating from the bottom upwards a predetermined portion of said fabric, an optical device for acquiring an image or a video of said predetermined portion of said fabric, a data processing and storage unit connected to said optical device and configured to associate with said image or video of said predetermined portion of said fabric identification information of said fabric.

Provided are an apparatus for manufacturing a textile grid with increased adhesion and a method thereof capable of integrating the textile grid with a concrete structure by increasing the adhesion of the textile grid when the concrete structure is built, repaired, or reinforced, increasing structural safety and durability of the concrete structure, increasing a working speed by coating a surface of the textile grid with an abrasive material powder that is a surface coating material in an automatic series of processes immediately after the textile grid is manufactured, and increasing coating performance by automatically inspecting and adjusting the amount of the coating material applied to the surface of the textile grid using a camera.

A seam inspection device includes an imaging device and a processing device. The imaging device shoots a sewing object supported by a throat plate of a sewing machine and having seams formed therein. And the processing device detects an abnormality of the seam based on an image of the sewing object acquired by the imaging device.

A seam inspection device includes an imaging device and a processing device. The imaging device shoots a sewing object supported by a throat plate of a sewing machine and having seams formed therein. And the processing device detects an abnormality of the seam based on an image of the sewing object acquired by the imaging device.

The present disclosure relates to a system and method for providing textile information and visualizing the same. The method for determining a damage level of a textile includes: receiving an image of at least a part of the textile; receiving information about a fabric type of the at least a part of the textile; analyzing the image by using a machine learning method so as to identify a fabric attribute of the at least a part of the textile; determining a severity value associated with the identified fabric attribute by using the machine learning method according to the received image, the identified fabric attribute and the fabric type; and determining the damage level of the textile based on the determined severity value.

In order to optically sense a yarn moved in the longitudinal direction of the yarn, a yarn sensor has a light source, a detector and a light guiding element. The yarn sensor is based on the effect of frustrated total internal reflection (FTIR). Because of the FTIR effect, scattered light exiting the light guiding element in the contact region between the yarn and an outer surface of the light guiding element is detected by means of the detector, in which case sensing of the yarn lying against the outer surface is enabled. Alternatively, the reduced intensity in the totally internally reflected beam is then sensed by the detector. The intensity in the totally internally reflected beam is reduced mainly by the scattered light coupled out of the light guiding element.

In order to optically sense a yarn moved in the longitudinal direction of the yarn, a yarn sensor has a light source, a detector and a light guiding element. The yarn sensor is based on the effect of frustrated total internal reflection (FTIR). Because of the FTIR effect, scattered light exiting the light guiding element in the contact region between the yarn and an outer surface of the light guiding element is detected by means of the detector, in which case sensing of the yarn lying against the outer surface is enabled. Alternatively, the reduced intensity in the totally internally reflected beam is then sensed by the detector. The intensity in the totally internally reflected beam is reduced mainly by the scattered light coupled out of the light guiding element.

The invention pertains to a method to manufacture a textile product comprising a first sheet having polymer yarns fastened to this sheet to form a pile thereon, the method comprising providing the sheet, stitching the polymer yarns through the sheet to form the pile on a first surface of the sheet and loops of the yarns at a second surface of the sheet, heating the second surface of the sheet to at least partly melt the loops of the yarns to fasten the yarns to the sheet, wherein the method comprises measuring a roughness of the second surface with the at least partly molten loops of the yarns thereon, after the at least partly molten loops have solidified and, if the roughness differs from a predetermined surface roughness, adapting the method to manufacture the textile product, in order to obtain a second surface roughness that differs from the measured surface roughness. The invention also pertains to a device for applying this method.