An allograft optimization system utilizes an optical system to determine the outer perimeter of a tissue blank for allograft cutting therefrom. The optical system determines an optimal allograft array pattern that can be derived from the irregular tissue blank and may include a plurality of various allograft shapes and sizes. A computer operates an allograft optimization computer program that receives input regarding the outer perimeter of the tissue blank. A cutting implement, such as a laser, is configured to cut the allografts from the irregularly shaped tissue blank according the allograft array pattern. The cutting implement is automatically actuated by an actuator with respect to the tissue blank to cut the allografts therefrom. The cutting implement may be a laser or a galvo laser that is directed by one or more mirrors. The tissue may be birth tissue including placental tissue and amnion.

A method of power control for a textile machine with simultaneously operated workstations and with at least one power supply unit for jointly powering the workstations, a power control unit and a spinning machine. The method enables rapid run-up of the textile machine and minimise delays and downtimes. The method comprises steps that initially involve determining the required electrical power output of each of the workstations, then determining the simultaneously executable operations on the basis of the determined required power and a maximum power output of the power supply unit. Optimised operating data of the several workstations powered jointly by a power supply unit can be obtained in order to make the best possible use of the maximum power output of a power supply unit, wherein the required electrical power output and/or the simultaneously executable operations are determined, and/or optimised operating data is obtained taking into consideration current batch data.

An allograft optimization system utilizes an optical system to determine the outer perimeter of a tissue blank for allograft cutting therefrom. The optical system determines an optimal allograft array pattern that can be derived from the irregular tissue blank and may include a plurality of various allograft shapes and sizes. A computer operates an allograft optimization computer program that receives input regarding the outer perimeter of the tissue blank. A cutting implement, such as a laser, is configured to cut the allografts from the irregularly shaped tissue blank according the allograft array pattern. The cutting implement is automatically actuated by an actuator with respect to the tissue blank to cut the allografts therefrom. The cutting implement may be a laser or a galvo laser that is directed by one or more mirrors. The tissue may be birth tissue including placental tissue and amnion.

The techniques disclosed herein analyze a garment design to create, verify, and package technical specifications usable by a manufacturer to produce a garment. Computer vision technologies are applied to an image of the garment to identify fabrics and other materials, notions such as zippers, buttons, drawstrings, etc., and individual panels that will be cut and sewn together to produce the garment. In some configurations, the identified aspects of the garment are analyzed for inconsistencies, omissions, or other errors. A designer of the garment may be prompted to resolve any errors. The confirmed specifications are then exported to a tech pack that conforms to the standards of a manufacturer, including a bill of materials, a list of panels to be cut, and annotations confirming the intent of the designer. A clothing manufacturer may then use the tech pack to configure machines to produce the garment.

Systems The present invention discloses systems and methods for generating a zero-waste design pattern and reduction in fabric/material waste including but not limited to garment(s), furniture, shoes and other accessories, wherein the method comprises the steps of: (i) accepting a target design input comprising a first plurality of cut pieces; (ii) rendering a first 3D clothing surface from the first plurality of cut pieces from the target design input; (iii) merging/splitting, optimizing and packing the first plurality of cut pieces iteratively to yield a second plurality of cut pieces; (iv) rendering a second 3D clothing surface from the second plurality of cut pieces; and (v) comparing the first 3D clothing surface and second 3D clothing surface and performing the tasks of merging/splitting, optimizing and packing iteratively when a distortion between the first 3D clothing surface and second 3D clothing surface exceeds a pre-defined threshold value.

Systems and methods are described for managing articles. The systems and methods described herein may comprise an example method for manufacturing an article. The systems and methods provides an end-to-end manufacturing value chain as a closed system and feedback loop.

Systems and methods are described for managing articles. The systems and methods described herein may comprise an example method for manufacturing an article. The systems and methods provides an end-to-end manufacturing value chain as a closed system and feedback loop.

A yarn monitoring system for textile machines uses sensors to indicate yarn over-tensioning and breakage. The sensors within eyelets monitor the passage of the yarn and send raw signals to the controller. The eyelets, each with a sensor, are within a body containing a circuit board which is in constant communication with the sensors and software contained within a controller. The controller is in constant communication with the textile machine. The software contains an acceptable operational zone for raw signal data and control limits establishing the lowest raw signal data reading permitted for the yarn. The user establishes set points for the control limits, and reaching these set points is an indication over-tension or yarn breakage. To prevent unnecessary shut down of the machine, the software averages the raw signal data and, when the raw signal average remains out of the established set points, initiates communication to the textile machine.

Systems and methods for manufacturing a garment, include: (a) receiving garment design input data for a garment design including data representing a first textile structural unit at a first location in the garment design and data representing a second textile structural unit at a second location in the garment design; (b) generating a textile production machine instruction data set based on the garment design input data; (c) forming a first garment using a first textile production machine to include the first textile structural unit at a first location in the first garment and the second textile structural unit at a second location in the first garment; (d) creating revised garment design input data for the garment design based on the first garment created in the forming step; (e) generating revised textile production machine instruction data set based on the revised garment design input data; and (f) forming a second garment using a textile production machine and the revised garment design input data including the changes to the garment design.

Systems and methods are described for managing articles. The systems and methods described herein may comprise an example method for manufacturing an article. The systems and methods provides an end-to-end manufacturing value chain as a closed system and feedback loop.