PATENT CLAIM ANALYSIS

Application Number: 16217636
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["250", "226000"]

Abstract:
Disclosed are a scanner system and a method for recording surface geometry and surface color of an object where both surface geometry information and surface color information for a block of the image sensor pixels at least partly from one 2D image recorded by the color image sensor. A particular application is within dentistry, particularly for intraoral scanning.

Claim (Index 20):
A scanner system for recording surface geometry and surface color of an object, the scanner system comprising:\n a multichromatic light source configured to provide a multichromatic probe light for illumination of the object, at least one image sensor comprising an array of image sensor pixels to capture 2D images of light received from the object, and a data processing system configured to use triangulation and data from a first set of image sensor pixels within the array of image sensor pixels to derive surface geometry information of a portion of the object from a series of 2D images recorded by the at least one image sensor, the data processing system further configured to use data from a second set of image sensor pixels within the array of image sensor pixels to derive surface color information for the portion of the object from a plurality of 2D images recorded by the at least one image sensor, wherein, from the plurality of 2D images, data is stored separately for a first color, a second color, and a third color, wherein the surface color information is obtained by combining the stored data from the first, second, and third colors, and wherein the first set of the image sensor pixels is different from the second set of the image sensor pixels.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 98.0
- Lexical Diversity: 1.45238
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15888416', '14764087', '16217943', '13376427', '14502230']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6928279707062888
- 35 USC 102 Novelty (BERT): 0.5175490403863519
- Combined Prediction Score: 0.675300077674295
- Mean Citation Score: 246.215286
- Max Citation Score: 337.85297
- Similarity Product: 318.6562329766668

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

Dataset: test