PATENT CLAIM ANALYSIS

Application Number: 15864026
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["340", "870180"]

Abstract:
A system and method for counting persons using passages entering or exiting an area by analyzing vibrations in the floor with sensors and a machine learning system. The machine learning system uses a model, usually implemented as a neural network on a processor. The network is trained in levels and implemented in layers. Different levels classify and analyze vibrations by timing and frequency, by movements of persons, and by identity of persons The same person is identified by patterns in the vibrations and the vibrations are correlated to determine when a person uses a combination of passages and is thereby counted. Location information for the person is used to identify persons in places and doing activities of interest. The model may be trained on one processor and then downloaded to another processor for evaluation. Additional sensors and levels of training may be implemented on the latter processor.

Claim (Index 17):
The system of  claim 14  wherein:\n a second processor trains the model, \n the model is downloaded to the processor of  claim 14 , and \n the processor of  claim 14  evaluates inputs from the sensor and produces the output of the model.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 86.0
- Lexical Diversity: 1.98734
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15828629', '09536820', '10983194', '10982743', '15444054']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6379498057026337
- 35 USC 102 Novelty (BERT): 0.5046181144323434
- Combined Prediction Score: 0.6246166365756047
- Mean Citation Score: 157.130944
- Max Citation Score: 174.7499
- Similarity Product: 114.54569415932892

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