Abstract: A linking machine (104) comprising a fixed unit comprising a support frame (108), a mobile unit (200) comprising a device for advancing or transporting (116) the fabric along a longitudinal direction (Y-Y), a device for positioning (120) a needle (110) along a transverse direction (X-X), perpendicular to said longitudinal direction (Y-Y) and coplanar with the fabric, an actuator device (124) of said needle (110) in a vertical direction (Z-Z), perpendicular to said longitudinal (Y-Y) and transverse (X-X) directions, for performing the linking. Advantageously, the linking machine (104) comprises a feed guide (20) for two fabrics to be joined, such as a neck (1,10), provided with a separating cotton (3) and a knitted fabric (6), positioned upstream of said needle (110) in the longitudinal direction (Y-Y).

Abstract: A linking machine (104) comprising a fixed unit comprising a support frame (108), a mobile unit (200) comprising a device for advancing or transporting (116) the fabric along a longitudinal direction (Y-Y), a device for positioning (120) a needle (110) along a transverse direction (X-X), perpendicular to said longitudinal direction (Y-Y) and coplanar with the fabric, an actuator device (124) of said needle (110) in a vertical direction (Z-Z), perpendicular to said longitudinal (Y-Y) and transverse (X-X) directions, for performing the linking. Advantageously, the linking machine (104) comprises a feed guide (20) for two fabrics to be joined, such as a neck (1,10), provided with a separating cotton (3) and a knitted fabric (6), positioned upstream of said needle (110) in the longitudinal direction (Y-Y).

Abstract: 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.