An application area learning device, includes a learning unit configured to perform machine learning on a correlation between a feature value at least inside a contour to be extracted from an outline image of a shoe component and an application area of an adhesive in the shoe component and generate a prediction model, and a learned model storage unit configured to store the prediction model.

A tool path for treating a shoe upper may be generated to treat substantially only the surface of the shoe bounded by a bite line. The bite line may be defined to correspond to the junction of the shoe upper and a shoe bottom unit. Bite line data and three-dimensional profile data representing at least a portion of a surface of a shoe upper bounded by a bite line may be utilized in combination to generate a tool path for processing the surface of the upper, such as automated application of adhesive to the surface of a lasted upper bounded by a bite line.

A tool path for treating a shoe upper may be generated to treat substantially only the surface of the shoe bounded by a bite line. The bite line may be defined to correspond to the junction of the shoe upper and a shoe bottom unit. Bite line data and three-dimensional profile data representing at least a portion of a surface of a shoe upper bounded by a bite line may be utilized in combination to generate a tool path for processing the surface of the upper, such as automated application of adhesive to the surface of a lasted upper bounded by a bite line.

Manufacturing and assembly of a shoe or a portion of a shoe is enhanced by automated placement and assembly of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated by an automated manufacturing tool.

Manufacturing and assembly of a shoe or a portion of a shoe is enhanced by automated placement and assembly of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated by an automated manufacturing tool.

The present invention provides a method for designing of a piece of apparel in particular an upper of a shoe, comprising the steps of providing at least one first panel including a plurality of feature points in an essentially two-dimensional configuration, arranging the at least one first panel on a first reference body in a three-dimensional configuration representing the piece of apparel to be designed, generating a first mapping between the two-dimensional configuration of the at least one first panel and the three-dimensional configuration of the at least one first panel using the plurality of feature points and designing the piece of apparel using the first mapping.

The present invention provides a method for designing of a piece of apparel in particular an upper of a shoe, comprising the steps of providing at least one first panel including a plurality of feature points in an essentially two-dimensional configuration, arranging the at least one first panel on a first reference body in a three-dimensional configuration representing the piece of apparel to be designed, generating a first mapping between the two-dimensional configuration of the at least one first panel and the three-dimensional configuration of the at least one first panel using the plurality of feature points and designing the piece of apparel using the first mapping.

Systems and methods for supporting an object to be printed in an additive manufacturing process are disclosed. Support structures (202, 302, 402, 502, 602) are prefabricated and positioned in the build area of a 3D printing device prior to printing the 3D object. When the object has been printed, the support is removed and can be reused to print another object by repositioning the support structure in the building area of the additive manufacturing device.

Manufacturing of a shoe or a portion of a shoe is enhanced by automated placement of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated in an automated manner.

Manufacturing of a shoe or a portion of a shoe is enhanced by automated placement of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated in an automated manner.