PATENT CLAIM ANALYSIS

Application Number: 15870266
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["705", "007190"]

Abstract:
This disclosure relates generally to vehicle diagnostics, and more particularly to systems and methods for vehicle tracking and service prediction. In one embodiment, a processor-implemented vehicle tracking and prediction method is disclosed. The method includes sending an electronic signal to activate in-vehicle data collection by an on-board data aggregator disposed in communication with each of an on-board vehicle computer, via an on-board diagnostic port, and one or more user devices. The method further includes receiving, aggregated in-vehicle data from the on-board data aggregator, predicting a future vehicle service event based on the aggregated data, and generating a vehicle valuation metric based on the aggregated data. The method further includes sending a notification to at least one of the on-board vehicle computer and the one or more user devices, where the notification is based on the predicted future vehicle service event and the generated vehicle valuation metric.

Claim (Index 38):
The method of  claim 33 , further comprising:\n receiving, from a user device, user device sensor data from at least one of a GPS, a gyroscope, an accelerometer, or a magnetometer; and comparing, by the on-board data aggregator, the in-vehicle data with the user device sensor data; and determining, by the on-board data aggregator, whether the in-vehicle data and the user device sensor data are consistent; and filtering, by the on-board data aggregator, based on the determination, the in-vehicle data prior to sending the in-vehicle data to the analytics database.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.23944
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15009418', '14047274', '14099727', '14512141', '14926591']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0981758897604494
- 35 USC 102 Novelty (BERT): 0.4925522180199185
- Combined Prediction Score: 0.1376135225863963
- Mean Citation Score: 145.898946
- Max Citation Score: 161.74193
- Similarity Product: 96.23113138267756

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

Dataset: test