PATENT CLAIM ANALYSIS

Application Number: 16048428
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["340", "870070"]

Abstract:
A system includes plural sensor devices installed at a premises and a server computer coupled to a network and in communication with a gateway, which receives a risk profile for a physical premises, collect sensor information from the plural sensor devices and receives data feeds relevant to a location of the physical premises and execute one or more learning models to continually analyze the collected sensor information and data feeds to produce operational decisions based on the sensor information and data feeds to predict changes to risk profiles based on the continual analysis of sensor information and which determines responses to new risk profiles that are produced. The system also includes an engine for monitoring the sensor devices to recognize occurrences of events, and ask, through an interface to a human for additional information to confirm an occurrence of one or more of the events.

Claim (Index 2):
The computer program product of  claim 1  wherein the sensor data is collected continuously and the learning models are unsupervised learning models and the product further comprises instructions to:\n collect feed information from plural sources; and \n execute the one or more learning models to continually analyze the collected sensor information collected feed data.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 1.96104
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15477213', '14870404', '14870551', '14870493', '15147093']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6998604111020725
- 35 USC 102 Novelty (BERT): 0.5041216876411849
- Combined Prediction Score: 0.6802865387559838
- Mean Citation Score: 210.924152
- Max Citation Score: 293.2571700000001
- Similarity Product: 291.91799639560827

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