PATENT CLAIM ANALYSIS

Application Number: 16014891
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["700", "134000"]

Abstract:
Using an existing embroidery design that has been created for applique, data is automatically created for a cutting machine, which will cut the applique. Currently, the user currently has to cut these by hand—a labor intensive process or use a custom die that can be expensive. The process only requires that the applique steps in the sewing sequence are labeled as such. Generally, the applique steps are so labeled in order for the design creator to be able to let the sewer know what they are doing.

Claim (Index 31):
A method for adapting an embroidery design producible by an embroidery machine interpreting sewing data, the method comprising:\n obtaining the sewing data wherein the sewing data comprises a plurality of stitches and a plurality of needle penetrations; creating a bitmap; producing a drawing on the bitmap by drawing the embroidery design onto the bitmap and drawing the needle penetrations onto the bitmap; producing a set of traces around the drawing wherein the traces define an outline of the drawing; simplifying the outline by fitting the outline to a Bezier outline; creating an offset outline by offsetting the outline; discovering intersections between the offset outline and the outline; discarding an overlapped region from the offset outline; producing fill stitch data wherein the fill stitch data specifies a plurality of fill stitches that fill the offset outline; storing an embroidery data file in a non-transitory medium wherein the embroidery data file comprises the sewing data and the fill stitch data.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 1.53226
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14812188', '11015470', '11079577', '14079449', '11015664']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3850926988975594
- 35 USC 102 Novelty (BERT): 0.601676961257464
- Combined Prediction Score: 0.4067511251335499
- Mean Citation Score: 320.850362
- Max Citation Score: 578.19135
- Similarity Product: 456.64652663340576

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test