PATENT CLAIM ANALYSIS

Application Number: 16030362
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["705", "311000"]

Abstract:
An automated notarization device may receive biometric data from a biometric sensor, transmit the biometric data to a remote server, receive processed biometric data, receive user identification data relating to a user identity, compare processed biometric data and user identification data, receive document data, send an emboss request, record time stamp information, scan a signed version of the document, and transmit a notarization confirmation. An automated notarization device for providing a notarization transaction may include a processor, a display, an image sensor, a biometric sensor, a notarization printer, a scanner, a transceiver, and a non-transitory memory storing instructions that, when executed by the processor, cause the processor to perform processing including receive biometric data from the biometric sensor, transmit the biometric data to a server remote from the automated notarization device, receive processed biometric data, receive user identification data, compare the processed biometric data and the user identification data, receive document data, send an emboss request, record time stamp information, scan a signed version of the document, and transmit a notarization confirmation.

Claim (Index 5):
The automated notarization device of  claim 1 , wherein the processing further comprises:\n store user biometric data, the user biometric data relating to the user identity, and compare the biometric data to the stored user biometric data to authenticate the user.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 95.0
- Lexical Diversity: 3.29508
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14247370', '15592425', '15466049', '09764541', '15909416']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1469438378521186
- 35 USC 102 Novelty (BERT): 0.5152756216762968
- Combined Prediction Score: 0.1837770162345364
- Mean Citation Score: 308.173656
- Max Citation Score: 327.49722
- Similarity Product: 275.6518195822835

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