PATENT CLAIM ANALYSIS

Application Number: 15975958
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["250", "338100"]

Abstract:
A method for detecting the presence of foreign fluids on surface comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. A polarimeter records raw image data of a surface (e.g., the surface of water) to obtain polarized images of the surface. IR and polarization data products are computed from the polarized images. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.

Claim (Index 1):
A method of detecting a foreign fluid on a surface, the method comprising:\n recording raw image data of the surface using a polarimeter to obtain polarized images; computing IR and polarization data products from the polarized images; converting the IR and polarization data products to a multi-dimensional data set to form multi-dimensional imagery; applying contrast enhancement algorithms to multi-dimensional imagery to form enhanced contrast images; detecting foreign fluid on the surface from the enhanced contrast images.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 93.0
- Lexical Diversity: 1.80952
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15387901', '14843835', '15450948', '14836549', '14602823']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7450694475097673
- 35 USC 102 Novelty (BERT): 0.5499776589614681
- Combined Prediction Score: 0.7255602686549374
- Mean Citation Score: 335.11725399999995
- Max Citation Score: 415.36905
- Similarity Product: 401.69584239166977

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