PATENT CLAIM ANALYSIS

Application Number: 16134407
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "103000"]

Abstract:
Exemplary embodiments are generally directed to systems and methods of object identification. Exemplary embodiments can scan, by an optical reader, a machine-readable identifier associated with an original object. Exemplary embodiments can capture an image of the original object at a first orientation using an image capture device. Exemplary embodiments can transmit the machine-readable identifier and the image of the original object to an image database to store an association between the image of the original object and the machine-readable identifier. Exemplary embodiments can receive a subsequent object having a subsequent machine-readable identifier that is unavailable or incapable of being scanned. Exemplary embodiments can capture an image of the subsequent object with the image capture device. Exemplary embodiments can execute an image recognition function that outputs object identification information for the image of the subsequent object based on the machine-readable identifier associated with the image of the original object.

Claim (Index 5):
The method of  claim 1 , comprising displaying, via the graphical user interface, the set of images output as potential matches as a grid of selectable images.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.75439
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15274407', '14289950', '13831025', '11327131', '14926011']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3386372983624967
- 35 USC 102 Novelty (BERT): 0.5476993427912756
- Combined Prediction Score: 0.3595435028053746
- Mean Citation Score: 249.914228
- Max Citation Score: 429.01474
- Similarity Product: 272.4724809409595

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

Dataset: test