PATENT CLAIM ANALYSIS

Application Number: 16127956
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-12
Patent Classification: ["702", "034000"]

Abstract:
A system and method for inspecting a railway track. The system preferably includes: a processor; at least one sensor oriented to capture data of the railway track; a data storage device in electronic communication with the processor; and computer executable instructions stored on a computer readable storage medium in communication with the processor operable to: determine an elevation of a surface of a rail head of a rail located on the railway track based on a distance to the rail head from the at least one sensor, determine an elevation of a surface of a crosstie of the railway track based on a distance to a top surface of the crosstie from the at least one sensor, estimate a total rail height and underlying rail support, and calculate a crosstie wear value based on the determined rail head surface elevation, crosstie surface elevation, and estimated total rail height and underlying rail support.

Claim (Index 11):
The method of  claim 7 , wherein the underlying rail support comprises a tie plate and the step of estimating a total rail height of a rail of the railway track and a height of an underlying rail support further comprises estimating a thickness of the tie plate.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 97.0
- Lexical Diversity: 2.60317
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14725490', '11172618', '12489570', '14599757', '13795841']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2575343442806192
- 35 USC 102 Novelty (BERT): 0.5102261535760503
- Combined Prediction Score: 0.2828035252101623
- Mean Citation Score: 292.616204
- Max Citation Score: 312.53955
- Similarity Product: 255.8964398450464

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