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 1):
A hyperspectral imaging device comprising:\n a photo-sensor array including a plurality of photo-sensors, each photo-sensor in the plurality of photo-sensors providing a respective output; a spectral filter array having a plurality of filter elements, wherein each filter in the filter elements is arranged to filter light received by a respective one or more of the plurality of photo-sensors, and wherein each filter element is one of a plurality of filter-types, wherein each filter-type is characterized by a spectral pass-band different from the other filter-types; an interface module to select one or more sub-sets of photo-sensor outputs, wherein each sub-set of photo-sensor outputs is associated with a single respective filter-type; and a control module configured to generate a hyperspectral data cube from the one or more sub-sets of photo-sensor outputs by generating a plurality of respective images, wherein each respective image is produced from a single respective sub-set of photo-sensor outputs so that each of the plurality of respective images is associated with a particular filter-type.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 1.54286
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13844737', '15681265', '14372711', '14333406', '15151419']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6315823975066974
- 35 USC 102 Novelty (BERT): 0.4973457218836632
- Combined Prediction Score: 0.618158729944394
- Mean Citation Score: 235.288826
- Max Citation Score: 297.39062
- Similarity Product: 284.8751685928822

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