PATENT CLAIM ANALYSIS

Application Number: 16054897
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["340", "573100"]

Abstract:
An example method of security prejudgment based on characteristic information include receiving characteristic information of a monitored party from the monitored party, calculating security status information of the monitored party based on a probability of danger that has been stored and corresponds to the characteristic information of the monitored party, determining that the security status information is greater than a first threshold, performing an appropriate operation based on the determination. Accordingly, the technical solution of the present disclosure solves a problem that presetting of monitoring conditions cannot cover potential surrounding risks that result in a safety hazard. Further, the technical solution can monitor risks that are not reflected by spatial information. After identifying and warning based on the characteristic information, potential risks may be avoided before occurring without wasting data traffic.

Claim (Index 36):
The one or more memories of  claim 35 , wherein the calculating the security status information of the monitored party based on the probabilities of danger that have been stored and correspond to the characteristic information of the monitored party includes a calculation based on Bayes' theorem using at least two probabilities of danger.

Metadata:
- Claim Count in Document: 61.0
- Percentile: 96.0
- Lexical Diversity: 1.79747
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15390019', '14727696', '15757058', '14898461', '15744714']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6762769748727366
- 35 USC 102 Novelty (BERT): 0.5929235438937515
- Combined Prediction Score: 0.6679416317748382
- Mean Citation Score: 213.799744
- Max Citation Score: 520.6128
- Similarity Product: 395.9988712177277

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