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 5):
The method for indenting coloring areas of colored 3D object of  claim 2 , wherein a surface normal vector (n) of the multiple horizontal triangle surfaces ( 421 ,  422 ) is downwards, and step d2) is pointing a right thumb of a right hand toward the direction of the surface normal vector (n), and using the first making directions of four fingers of the right hand as the directions of the multiple edges.

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): 0.7794012849512935
- 35 USC 102 Novelty (BERT): 0.5201677561774747
- Combined Prediction Score: 0.7534779320739116
- Mean Citation Score: 296.108352
- Max Citation Score: 319.26483
- Similarity Product: 214.44230827253224

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