Systems and methods for on-loom detection of faults in fabric. An image-capture trigger-mechanism triggers an imaging device to capture a first image of a section of the weaving area at a first instant during each weft insertion cycle and a second image of the section of weaving area may be captured at a second instant during each weft insertion cycle. The images may be timed to provide images of the warp yarns and the weft yarns at optimal instants during the weft insertion cycle. An image processor detects irregularities in the data received from the imaging device

A method, system and computer program product for a heuristic determination of in-process damage class control to manage expected output product category. The heuristic technique determines the predicted damages and their ranges while keeping the initial expected defects, the respective classes and range of defect and mitigation. The method dynamically computes a damage mitigation range of operation while being within the overall constraints and completes the computation in smaller number of loops being run at the edge computers so that the manufacturing equipment can operate at a higher velocity for higher quality of the output. The method includes a step of reducing error of the co-efficient and damage counts. An Internet of Things (IoT) based robot is used to mitigate the damages in the manufacturing steps to ensure that the output class of the product remains what was expected at the start despite damages and mitigation measures.

On-loom fabric inspection system (500) including an imaging device (522) configured to collect images of a weaving area (518) of a loom (502). An image-capture trigger-mechanism (529) triggers the imaging device (522) to capture images at required instants during the weaving cycle. An image processor (524) receives data from the imaging device (522) and further detects irregularities in the data.

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 weaving installation (400) comprises a loom (100) for making a woven texture by weaving between a plurality of threads, at least part of the plurality of threads being carbon threads (210, 211, 212, 213, 214, 215), the carbon threads each being individually stored on one bobbin of a plurality of carbon thread storage bobbins (220, 221, 222, 223, 224, 225) present upstream of the loom. The installation further comprises a plurality of pairs of first and second electrical contacts (301, 302; 303, 304; 305, 306; 307, 308; 309, 310; 311, 312) present between the storage bobbins (220, 221, 222, 223, 224, 225) and the loom (100). Each pair of first and second electrical contacts is present in the path of a carbon thread, the first and second contacts of each pair being intended to be in electrical contact with a given carbon thread. The contacts of each pair of first and second contacts are further connected to an open-circuit detection circuit (230).

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 wearable, nanoconductor technology for smart electronic applications. A novel nano-scale geometry is achieved for nanoconductor circuits on the order of the size of a single thread or smaller, which are easily integrated with clothing and provide smart applications for wearable electronics. The nano-scale fibers provide improved material characteristics and the fixed geometry and orientation of the nanoconductor structures allow easier interface of nanoconductor electronics integrated with the clothing or with electronics external to the weave of the clothing. Novel electronic circuits based on the size and fixed geometries of the nanoconductor fibers which allow configurable functions that can be employed for different uses through logic circuit configuration or serial programming during wear are disclosed.

A system, method, and material for encouraging study or mastery of a fibre art skill is provided. A fibre source material is incentivized to encourage individuals learning or mastering a fibre art skill by concealing a tracker in the fibre material or attaching it to the packaging of the fibre material. The tracker may be a coupon, token, or ticket that reveals a code, number, or some other form of identifier associated with an incentive. The tracker is revealed upon unwinding the fibre material while performing the fibre art skill, which allows the individual to exchange the revealed tracker for an incentive at, for example, a specific store, online, or through some other specified manner

An on-loom fabric inspection system having at least one imaging device configured to collect images of at least one section of a weaving area of a loom including a shed region, a woven fabric region and a fell region. The system is operable to detect faults in the weaving area and to produce batches of woven fabric assigned with an objective quality index.

A system, method, and material for encouraging study or mastery of a fibre art skill is provided. A fibre source material is incentivized to encourage individuals learning or mastering a fibre art skill by concealing a tracker in the fibre material or attaching it to the packaging of the fibre material. The tracker may be a coupon, token, or ticket that reveals a code, number, or some other form of identifier associated with an incentive. The tracker is revealed upon unwinding the fibre material while performing the fibre art skill, which allows the individual to exchange the revealed tracker for an incentive at, for example, a specific store, online, or through some other specified manner.