Glowforge Inc.

Daniel Martinec

Mark Gosselin

Daniel J Shapiro

Kevin McVey

Anthony Wright

Jared Kofron

Taylor Vaughn

Brian Fioca

Jonathan Daniel Park

Scott Haug

Rachael Ludwick

Michael Natkin

Penelope Ackerman

Therese Seldon

A method for calibrating a computer-numerically-controlled machine can include capturing one or more images of at least a portion of the computer-numerically-controlled machine. The one or more images can be captured with at least one camera located inside an enclosure containing a material bed. A mapping relationship can be created which maps a pixel in the one or more images to a location within the computer-numerically controlled machine. The creation of the mapping relationship can include compensating for a difference in the one or more images relative to one or more physical parameters of the computer-numerically-controlled machine and/or a material positioned on the material bed. Related systems and/or articles of manufacture, including computer program products, are also provided.

Calibration of a computer-numerically-controlled machine

A method may include generating, by a camera having a view of an interior portion of a computer-numerically-controlled machine, an image comprising a pattern. The image can be transformed into a set of machine instructions for controlling the computer-numerically-controlled machine to effect a change in a material. The change can correspond to at least a portion of the pattern. At least one machine instruction from the set of machine instructions can be executed to control the computer-numerically-controlled machine to effect at least a portion of the change. The execution can include operating, in accordance with the at least one machine instruction, a tool coupled with the computer-numerically-controlled machine. The tool can be configured to effect the change on the material. Related systems and articles of manufacture, including computer program products, are also provided.

Fabrication with image tracing

A method may include projecting, onto a surface within a computer numerically controlled machine, a structured light having a known property. One or more sensors may generate an image of the structured light projected on the surface within the computer numerically controlled machine. One or more characteristics of the surface may be determined by comparing a property of the structured light shown in the image to the known property of the structured light. Examples of characteristics include a size, a distance to the surface, a height, a thickness, an angle of the surface, edges, surface properties, jigs, fiducial alignment markers, patterns encoding data, and visual designs on the surface of the material that are intended for reproductions. A surface map indicating the characteristics of the surface at various locations may be generated to enable, for example, a calibration, alignment, and/or optimization of the computer numerically controlled machine.

Computer numerically controlled fabrication using projected information

A method may include generating, by a camera having a view of an interior portion of a computer-numerically-controlled machine, an image comprising a pattern. The image can be transformed into a set of machine instructions for controlling the computer-numerically-controlled machine to effect a change in a material. The change can correspond to at least a portion of the pattern. At least one machine instruction from the set of machine instructions can be executed to control the computer-numerically-controlled machine to effect at least a portion of the change. The execution can include operating, in accordance with the at least one machine instruction, a tool coupled with the computer-numerically-controlled machine. The tool can configured to effect the change on the material. Related systems and articles of manufacture, including computer program products, are also provided.

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Seattle, WA, United States of America

Daniel Martinec