PATENT CLAIM ANALYSIS

Application Number: 16003036
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-09
Patent Classification: ["348", "342000"]

Abstract:
The present disclosure generally relates to hyperspectral spectroscopy, and in particular, to systems, methods and devices enabling a single-sensor hyperspectral imaging device. Hyperspectral (also known as “multispectral”) spectroscopy is an imaging technique that integrates multiples images of an object resolved at different narrow spectral bands (i.e., narrow ranges of wavelengths) into a single data structure, referred to as a three-dimensional hyperspectral data cube. Data provided by hyperspectral spectroscopy allow for the identification of individual components of a complex composition through the recognition of spectral signatures of individual components within the three-dimensional hyperspectral data cube.

Claim (Index 11):
The hyperspectral imaging device of  claim 1 , wherein the interface module comprises:\n one or more registers configured to receive the output of the photo-sensor array; and wherein the controller is further configured to:\n identify which registers correspond to filter elements of a particular filter-type from a look-up table; and \n select one or more sub-sets of photo-sensor outputs from the one or more registers based on the identification of the registers that correspond to filter elements of the particular filter-type;

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 1.54286
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13844737', '15681265', '14372711', '14333406', '15151419']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.658359963726347
- 35 USC 102 Novelty (BERT): 0.5027112584117004
- Combined Prediction Score: 0.6427950931948823
- Mean Citation Score: 235.288826
- Max Citation Score: 297.39062
- Similarity Product: 269.11730246031766

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

Dataset: test