PATENT CLAIM ANALYSIS

Application Number: 16192237
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-10
Patent Classification: ["702", "002000"]

Abstract:
Automated detection of environmental measures within an ocean environment using image data. In a machine-learning phase, image data of an ocean environment are received. In addition, ocean sensor data that represent environmental measure(s) of the ocean environment, collected by ocean sensor(s) contemporaneously with the image data, are received. A predictive model is trained to emulate the ocean sensor(s) based on the image data. Subsequently, in an operational phase, image data is received from ocean-facing camera(s) that capture image data of the ocean environment. The predictive model is used to identify feature(s) within the image data and estimate the environmental measure(s) of the ocean environment based on the identified feature(s). The estimated environmental measure(s) may then be used to generate data in response to user requests.

Claim (Index 9):
A system comprising:\n at least one hardware processor; and one or more software modules configured to, when executed by the at least one hardware processor,\n in a machine-learning phase during a first time period,\n receive first image data of an ocean environment, \n receive ocean sensor data that represent one or more environmental measurements of the ocean environment collected by at least one ocean sensor contemporaneously with a time at which the first image data of the ocean environment was captured, and \n correlate the first image data with the ocean sensor data to train a predictive model to emulate an output of the at least one ocean sensor based on the first image data, and, \n \n in an operational phase during a second time period that is subsequent to the first time period,\n for each of one or more ocean-facing cameras that are positioned to capture second image data of the ocean environment,\n receive the captured second image data via at least one network, and \n use the predictive model to identify one or more features within the captured second image data, and estimate the one or more environmental measures of the ocean environment based on the identified one or more features within the captured second image data, and, for each of one or more user systems, \n receive a request for data from the user system via the at least one network, \n generate the requested data based on the estimated one or more environmental measures, and \n send the requested data to the user system via the at least one network.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 98.0
- Lexical Diversity: 2.53125
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16191853', '14660538', '14660501', '14498727', '13806263']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1745920318526129
- 35 USC 102 Novelty (BERT): 0.5030473862001478
- Combined Prediction Score: 0.2074375672873664
- Mean Citation Score: 154.78993400000004
- Max Citation Score: 266.91614
- Similarity Product: 189.6428520465076

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

Dataset: test