PATENT CLAIM ANALYSIS

Application Number: 15914329
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "167000"]

Abstract:
Matching color information in an optical system can include splitting an image forming beam into a bright intensity beam and a dark intensity beam, detecting, using multiple sensors, a color value for a light component from the bright intensity beam and the dark intensity beam, determining color values for the remaining light components associated with the bright intensity beam and the dark intensity beam, and transforming the color values associated with the dark intensity beam to calibrate the color values of the dark intensity beam against the color values of the light intensity beam, the color values of the light intensity beam including color inaccuracies.

Claim (Index 38):
A device comprising:\n a lens, at least one beam splitter, and a plurality of sensors arranged to receive an image forming beam, split the image forming beam into a two or more beams of differing intensity, and detect a color value for a light component from each of the two or more beams; and a processor coupled to the plurality of sensors, the processor operable to\n perform color correction on pixel data produced by a pixel of a first sensor of the plurality of sensors using the color value and a color correction lookup table; \n convert the color corrected pixel data to a color space of a second sensor of the plurality of sensors using a color matching lookup table; and \n merge the converted pixel data with pixel data produced by a pixel of the second sensor.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 90.0
- Lexical Diversity: 2.54545
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15427767', '15169006', '15169012', '15670229', '09847968']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.308278778880808
- 35 USC 102 Novelty (BERT): 0.5726945763242962
- Combined Prediction Score: 0.3347203586251569
- Mean Citation Score: 291.2163500000001
- Max Citation Score: 449.05975
- Similarity Product: 413.32461493664977

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