PATENT CLAIM ANALYSIS

Application Number: 15961537
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["702", "189000"]

Abstract:
A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

Claim (Index 24):
The method of  claim 20 , wherein:\n the back end server system comprises:\n a plurality of machine-learning first order virtual sensors; and \n a machine-learning second order virtual sensor that is trained through machine learning to detect, based on output from at least one of the plurality of first order virtual sensors, a second order condition in the environment of the sensor assembly; \n the detecting step comprises detecting, by each of the plurality of machine-learning first order virtual sensors, based on the featurized data, a different event in the environment of the sensor assembly; and the method further comprises the step of detecting, by the machine-learning second order virtual sensor, the second order condition in the environment of the sensor assembly based on the output from at least one of the plurality of first order virtual sensors.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.98684
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15054763', '10409895', '15446803', '15735338', '14788437']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1943985355509329
- 35 USC 102 Novelty (BERT): 0.491009799095511
- Combined Prediction Score: 0.2240596619053907
- Mean Citation Score: 156.613204
- Max Citation Score: 163.55571
- Similarity Product: 109.8457280144298

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

Dataset: test