A machine for weaving or winding a fiber preform on a mandrel having an axis of rotation that is substantially horizontal and that serves to receive the preform, the machine having a plurality of cameras pointing towards the underside of the fiber preform in order to scan the hidden face of the fiber preform and acquire images of the hidden face; an image analysis module for processing these images of the hidden face of the fiber preform in a plurality of adjacent scan windows, and for extracting weaving patterns therefrom and comparing them with reference weaving patterns previously stored in the module; a motor for driving the mandrel in rotation about its axis of rotation; and a control unit for stopping rotation of the mandrel if the result of the comparison reveals a difference of appearance between the two weaving patterns.

A machine for weaving or winding a fiber preform on a mandrel having an axis of rotation that is substantially horizontal and that serves to receive the preform, the machine having a plurality of cameras pointing towards the underside of the fiber preform in order to scan the hidden face of the fiber preform and acquire images of the hidden face; an image analysis module for processing these images of the hidden face of the fiber preform in a plurality of adjacent scan windows, and for extracting weaving patterns therefrom and comparing them with reference weaving patterns previously stored in the module; a motor for driving the mandrel in rotation about its axis of rotation; and a control unit for stopping rotation of the mandrel if the result of the comparison reveals a difference of appearance between the two weaving patterns.

A characterization method for characterizing an article made of composite material having woven, braided, or sewn fiber reinforcement, the method including a determination step of using X-ray tomography to determine gray levels of at least a portion of the article, followed by an exploitation step of exploiting the gray levels to obtain information concerning the weaving by distinguishing between at least the free matrix and the threads of fibers mixed with the matrix, the threads being considered as being a material that is homogeneous.

A characterization method for characterizing an article made of composite material having woven, braided, or sewn fiber reinforcement, the method including a determination step of using X-ray tomography to determine gray levels of at least a portion of the article, followed by an exploitation step of exploiting the gray levels to obtain information concerning the weaving by distinguishing between at least the free matrix and the threads of fibers mixed with the matrix, the threads being considered as being a material that is homogeneous.

A defect identification device for identifying defects in fabrics comprising a support frame fitted with a crossbar supporting at least one video camera for capturing images of a fabric while it is being woven, movement means for moving the at least one video camera, a processing and control unit programmed to control the movement means to move the video camera automatically in real time along a transverse weft direction (X-X), acquiring in advance the geometry of the fabric to be made and setting at least one theoretical dimensional parameter of comparison and a tolerance limit value for said theoretical dimensional parameter, capturing images of the fabric being formed in real time, processing said images so as to acquire said actual dimensional parameter of the fabric being formed and compare it to the theoretical dimensional parameter, detecting the presence of a weaving error.

A defect identification device for identifying defects in fabrics comprising a support frame fitted with a crossbar supporting at least one video camera for capturing images of a fabric while it is being woven, movement means for moving the at least one video camera, a processing and control unit programmed to control the movement means to move the video camera automatically in real time along a transverse weft direction (X-X), acquiring in advance the geometry of the fabric to be made and setting at least one theoretical dimensional parameter of comparison and a tolerance limit value for said theoretical dimensional parameter, capturing images of the fabric being formed in real time, processing said images so as to acquire said actual dimensional parameter of the fabric being formed and compare it to the theoretical dimensional parameter, detecting the presence of a weaving error.

The present invention provides a method for verifying a product authenticity with fabric features, comprising steps of receiving at least one fabric partial image and performing image analysis to determine an image optical feature distribution information of an anti-counterfeiting feature, receiving a fabric serial number generated by operation of an input device, and determining whether a fabric is an authorized product by using the fabric serial number or the information. The present invention provides a method for establishing a authorized product data with fabric features, comprising steps of generating at least one fabric image waiting verifying by photographing a part of the fabric with the anti-counterfeiting feature, performing image analysis to generate an image optical distribution feature, recording the image optical distribution feature as an authentic anti-counterfeiting feature information, and storing the information correlated with an authentic fabric serial number to generate an authorized product data.

In order to specify an automated method and an apparatus enabling a quick, reliable and reproducible quality assurance and being easily integrated in existing machines, a cutting machine is specified, comprising: a conveyor (10) for conveying flexible material (100); a machining unit (20) for cutting the flexible material (100) into material parts (200); a recognition unit (30) for detecting the flexible material (100) and/or at least one cut material part (200), the recognition unit (30) being arranged in the conveying direction after the machining unit (20), and a control unit (50) configured to generate a quality result and to control the cutting machine based on information of the recognition unit (30) and/or on marking information.

In order to specify an automated method and an apparatus enabling a quick, reliable and reproducible quality assurance and being easily integrated in existing machines, a cutting machine is specified, comprising: a conveyor (10) for conveying flexible material (100); a machining unit (20) for cutting the flexible material (100) into material parts (200); a recognition unit (30) for detecting the flexible material (100) and/or at least one cut material part (200), the recognition unit (30) being arranged in the conveying direction after the machining unit (20), and a control unit (50) configured to generate a quality result and to control the cutting machine based on information of the recognition unit (30) and/or on marking information.

Systems and methods of state detection of material surfaces of wearable objects using color sensing are provided. A color sensor is used to sense light from material surfaces of wearable objects to obtain color sensing data. State information (e.g., tension, compression, deformation, displacement, level of material wear, etc.) of the material surfaces can be determined based on the obtained color sensing data.