PATENT CLAIM ANALYSIS

Application Number: 15966062
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["348", "164000"]

Abstract:
A digital camera accesses, processes and displays a combination image composed of visible light and near non-visible (“NNV”) light. A method can include accessing, by a digital camera, raw data having first information associated with a first electromagnetic spectrum range and second information associated with a second electromagnetic spectrum range. The first electromagnetic spectrum range is substantially within the visible spectrum and the second electromagnetic spectrum range is substantially within the NNV spectrum. The method can also include optimizing the raw data for the visible spectrum, thereby generating a first visual image representation, and optimizing the raw data for the NNV spectrum, thereby generating a second visual image representation. The method can also include combining the first visual image representation and the second visual image representation to generate a combination image. The digital camera can then initiate the display of the combination image.

Claim (Index 12):
The machine-readable storage medium of  claim 1 , wherein the second electromagnetic spectrum range comprises a range of wavelengths between approximately 701 nanometers and approximately 725 nanometers.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 91.0
- Lexical Diversity: 2.78947
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13971520', '15412322', '12575093', '13792978', '13216539']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6488054326032503
- 35 USC 102 Novelty (BERT): 0.5139701099605426
- Combined Prediction Score: 0.6353219003389796
- Mean Citation Score: 206.123544
- Max Citation Score: 321.9643
- Similarity Product: 289.59982971271273

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

Dataset: test