PATENT CLAIM ANALYSIS

Application Number: 16268576
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["340", "426100"]

Abstract:
An embodiment of the invention may include a method, computer program product and computer system for optimizing course understanding. The method, computer program product and computer system may include a computing device to receive fueling location data and vehicle identification data of a vehicle from a radio frequency identification (RFID) transceiver from a plurality of fueling stations. The RFID transceiver may receive the vehicle identification data at the RFID transceiver from a cryptographic RFID transponder as part of the vehicle. The computing device may receive user authentication signals authorizing a plurality of fueling stations from an authorized user of the vehicle. The computing device may determine from the fueling location data, the vehicle identification data, and the user authentication signals one or more fueling patterns. The computing device may detect a fueling location deviating from the one or more fueling patterns send an alert to an authorized device.

Claim (Index 11):
A computer program product as in  claim 10 , wherein the receiving, by the server, of an authentication request from the vehicle at an authorized fueling location outside one or more fueling patterns includes recognizing that days or times of fueling are outside of a known fueling pattern

Metadata:
- Claim Count in Document: 6.0
- Percentile: 99.0
- Lexical Diversity: 2.71186
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15820744', '14739683', '14690681', '14524190', '12134711']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6832364196471656
- 35 USC 102 Novelty (BERT): 0.5310388870641546
- Combined Prediction Score: 0.6680166663888646
- Mean Citation Score: 184.137894
- Max Citation Score: 317.3661
- Similarity Product: 209.0883929869652

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