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 9):
A method for automatically notarizing a document by an automated notarization device comprising:\n receiving, by a processor of the automated notarization device, biometric data from a biometric sensor; transmitting, by the processor, the biometric data to a server remote from the automated notarization device; receiving, by the processor, processed biometric data, the processed biometric data comprising information relating to a user identity; scanning, by the automated notarization device, a user identifier comprising a driver license; receiving, by the processor, the scanned user identifier comprising user identification data, the user identification data relating to the user identity, the user identification data comprising at least a user identifier signature and a user name; extracting, by the automated notarization device, the user identifier signature from the scanned user identifier; receiving, by the processor, document data relating to one or more pages of a document, the document data generated by the automated notarization device; analyzing, by the processor, the document data to identify a signature identity; comparing, by the processor, the processed biometric data, the user identification data, and the signature identity; based on comparing the processed biometric data, the user identification data, and the signature identity, sending, by the processor, an emboss request, the emboss request relating to embossing the document with a notarization symbol; recording, by the processor, time stamp information, the time stamp information relating to the notarization transaction; sending, by the processor, a request to scan a signed version of the document; receiving, by the processor, a scanned, signed version of the document; comparing, by the processor, a signature on the scanned, signed version of the document and the user identifier signature; embossing, by the automated notarization device, a document associated with the document data; and based on comparing the signature on the scanned, signed version of the document and the user identifier signature, transmitting, by the processor, a notarization confirmation, the notarization confirmation including a digital copy of the document, wherein notarizing the document does not involve a human notary public.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 95.0
- Lexical Diversity: 3.29508
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14247370', '15592425', '15466049', '09764541', '15909416']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1325880232436544
- 35 USC 102 Novelty (BERT): 0.5168054825413001
- Combined Prediction Score: 0.171009769173419
- Mean Citation Score: 308.173656
- Max Citation Score: 327.49722
- Similarity Product: 239.30753343775748

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