PATENT CLAIM ANALYSIS

Application Number: 15889972
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["073", "001850"]

Abstract:
A method detects the presence of a vehicle on a railway track using a sensing processor monitoring a sensing system for detecting vibration into ground installed along the railway track. The sensing system includes a detection module for detecting a vehicle on the railway track. The method includes an initialization step which includes the sub-steps of emitting a first signal to be received by the sensing processor through the sensing system, sending a first message to the sensing processor, monitoring the sensing system, and configuring the detection module in function of the received first signal and configuration data received in the first message. The configuration data can include location of the initialization device, intensity/magnitude of the first signal, emission time of the first signal, and/or type of object corresponding to the first signal.

Claim (Index 6):
The method of  claim 3 , wherein following the initialization step, the method comprises a detecting step comprising the sub-steps of:\n at the sensing processor, monitoring the sensing system; and at the sensing processor, comparing one or more received second signal with each memorized set of measured data in order to determine a type of detected object circulating on the railway track and preferentially also its location.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 88.0
- Lexical Diversity: 2.34426
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15153525', '14501177', '13816896', '12215094', '11426952']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6848288322504241
- 35 USC 102 Novelty (BERT): 0.4981532896335636
- Combined Prediction Score: 0.6661612779887381
- Mean Citation Score: 175.73106
- Max Citation Score: 250.45198
- Similarity Product: 179.03927234168168

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

Dataset: test