PATENT CLAIM ANALYSIS

Application Number: 16043751
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["381", "056000"]

Abstract:
Described in detail herein are methods and systems for identifying actions performed by a forklift based on detected sounds in a facility. An array of microphones can be disposed in a facility. The microphones can detect various sounds and encode the sounds in an electrical signal and transmit the sounds to a computing system. The computing system can determine the sound signature of each sound and based on the sound signature the chronological order of the sounds and the time interval in between the sounds the computing system can determine the action being performed by the forklift which is causing the sounds.

Claim (Index 11):
A method for identifying actions of a one of the one or more transportation devices based on detected sounds produced by the one of the one or more transportation devices or an environment within which the one of the one or more transportation devices is operated, the method comprising:\n detecting sounds via an array of microphones disposed in a first area of a facility receiving, via a computing system operatively coupled to the array of the microphones, time varying electrical signals output by at least a subset of the microphones in response to detection of the sounds; and detecting an operation being performed by the one of the one or more transportation devices based on parameters of the time vary electrical signals, a location of the subset of the microphones, and a time at which the time varying electrical signals are produced.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.96296
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15696976', '15698055', '15835958', '14700591', '13834342']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.621525704496921
- 35 USC 102 Novelty (BERT): 0.5131833012622191
- Combined Prediction Score: 0.6106914641734508
- Mean Citation Score: 167.730886
- Max Citation Score: 303.5821200000001
- Similarity Product: 271.14819808589465

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