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 37):
A non-transitory processor-readable medium storing computer program code representing instructions to cause a processor to perform a process for adapting an embroidery design specified by sewing data and producible by an embroidery machine interpreting the sewing data, the sewing data comprising a plurality of stitches and a plurality of needle penetrations, the processor-readable program code comprising program instructions, the program instructions comprising:\n program instructions for creating a bitmap; program instructions for producing a drawing of the embroidery design on the bitmap by interpreting the sewing data; program instructions for producing a set of traces around the drawing wherein the traces define an outline of the drawing; program instructions for simplifying the outline; program instructions for producing additional stitch data wherein the additional stitch data comprises outline stitch data or fill stitch data; program instructions for adding the outline stitch data to the sewing data; and program instructions for storing the sewing data in a non-transitory storage medium.

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): 0.3819118630265369
- 35 USC 102 Novelty (BERT): 0.6100027327030219
- Combined Prediction Score: 0.4047209499941854
- Mean Citation Score: 320.850362
- Max Citation Score: 578.19135
- Similarity Product: 488.09484428285657

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test