PATENT CLAIM ANALYSIS

Application Number: 15871012
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["425", "130000"]

Abstract:
A method for indenting coloring-areas of a colored 3D object includes: importing a 3D object; performing a slicing process on the 3D object for generating multiple object printing data-records and multiple color printing data-records of multiple printing layers; performing an indenting process on a color printing data-record of a lowest coloring-required printing layer for generating an indented color printing data-record; storing the multiple object printing data-records, the multiple color printing data-records, and the indented color printing data-record. When performing printing, a 3D printer ( 1 ) controls a 3D nozzle ( 12 ) to print slicing objects ( 4 ) of each printing layer according to the multiple object printing data-records, controls a 2D nozzle ( 13 ) to color the slicing object of the lowest coloring-required printing layer according to the indenting color printing data-record, and controls the 2D nozzle ( 13 ) to color the slicing objects ( 5 ) of the other coloring-required printing layers according to the multiple color printing data-records.

Claim (Index 4):
The method for indenting coloring areas of colored 3D object of  claim 2 , wherein step d4) is determining if any two adjacent vertices ( 4211 - 4213 ,  4221 - 4223 ) of a horizontal triangle surface ( 421 ,  422 ) are identical to any two vertices ( 4211 - 4213 ,  4221 - 4223 ) of another adjacent horizontal triangle surface ( 421 ,  422 ), and considers the edge formed by the two vertices ( 4211 - 4213 ,  4221 - 4223 ) as one of the outer profiles requiring to be processed with the indenting process when the determining result is not identical.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 3.32075
- Patent Class: 425.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15832123', '15607435', '15436762', '15499187', '15171489']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7793778947381342
- 35 USC 102 Novelty (BERT): 0.5205698527377933
- Combined Prediction Score: 0.7534970905381002
- Mean Citation Score: 296.108352
- Max Citation Score: 319.26483
- Similarity Product: 211.29826478623872

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

Dataset: test