PATENT CLAIM ANALYSIS

Application Number: 16057997
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["702", "060000"]

Abstract:
A system and method of electronic component authentication or component classification can reduce the vulnerability of systems (e.g., satellites, weapons, critical infrastructure, aerospace, automotive, medical systems) to counterfeits. Intrinsic deterministically random property data can be obtained from a set of authentic electronic components, processed, and clustered to create a classifier that can distinguish whether an unknown electronic component is authentic or counterfeit.

Claim (Index 10):
An electronic component classification system for classifying a plurality of electronic components, the electronic component classification system comprising:\n an electronic component interface to electrically interface with the plurality of electronic components; a sensor configured to measure a noise signal of each of the plurality of electronic components via the electronic component interface and store information regarding the noise signal of each of the plurality of electronic components in memory; a destructive classification system configured to destructively classify at least one of the plurality of electronic components, the destructive classification system storing information regarding the classification of the at least one electronic component in memory associated with the previously-stored information regarding the noise signal of the at least one electronic component; and a control unit configured to non-destructively classify the remaining plurality of electronic components by comparing the previously-stored information regarding the noise signal of the at least one destructively classified electronic component to the previously-stored information regarding the noise signal of each of the remaining plurality of electronic components.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 96.0
- Lexical Diversity: 1.42308
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15178708', '15696667', '15587143', '15319441', '15189055']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1703677582525356
- 35 USC 102 Novelty (BERT): 0.5447383721046581
- Combined Prediction Score: 0.2078048196377478
- Mean Citation Score: 234.567022
- Max Citation Score: 391.786
- Similarity Product: 306.81415874648087

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

Dataset: test