PATENT CLAIM ANALYSIS

Application Number: 15883672
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "131000"]

Abstract:
A method for performing fault-tolerant reconstruction of an image of an object is provided. The method includes acquiring a dataset corresponding to the object via a plurality of sensors, and detecting anomalous data within the dataset based at least in part on a statistical difference between the anomalous data and reference data within the dataset. The anomalous data is acquired by at least a first sensor of the plurality, and the reference data is acquired by at least a second sensor of the plurality that neighbors the first sensor.

Claim (Index 1):
A method for performing fault-tolerant reconstruction of an image of an object comprising:\n acquiring a dataset corresponding to the object via a plurality of sensors; detecting anomalous data within the dataset based at least in part on a statistical difference between the anomalous data and reference data within the dataset; and wherein the anomalous data is acquired by at least a first sensor of the plurality, and the reference data is acquired by at least a second sensor of the plurality that neighbors the first sensor.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 86.0
- Lexical Diversity: 2.0
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14902084', '15686157', '14897105', '14440927', '15646173']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3179601556518224
- 35 USC 102 Novelty (BERT): 0.4728255370773001
- Combined Prediction Score: 0.3334466937943701
- Mean Citation Score: 167.571554
- Max Citation Score: 178.05733999999995
- Similarity Product: 134.4453048173308

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

Dataset: test