PATENT CLAIM ANALYSIS

Application Number: 16382902
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["705", "026810"]

Abstract:
Embodiments of a method and/or system can include detecting placement of one or more items in relation to a smart shopping apparatus; collecting sensor data describing one or more item identifiers of the one or more items, where the sensor data corresponds to one or more sensors of the smart shopping apparatus; identifying one or more item profiles describing the one or more items, based on the sensor data; determining one or more shopping parameters associated with the shopping period, based on the one or more item profiles; and facilitating a purchase transaction for the one or more items based on one or more of the shopping parameters.

Claim (Index 14):
The method of  claim 11 ,\n wherein collecting the second sensor data comprises collecting image data for the item with an optical sensor of the smart shopping apparatus, wherein identifying the item profile comprises, in response to successfully detecting a barcode attached to the item based on the image data:\n extracting a barcode value for the item based on the image data; \n mapping the barcode value to a reference barcode value from the item profile; and \n identifying the item profile based on the mapping.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.46809
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14321573', '13912006', '16156826', '14024287', '14508874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1116670811488968
- 35 USC 102 Novelty (BERT): 0.483490356548812
- Combined Prediction Score: 0.1488494086888883
- Mean Citation Score: 143.875832
- Max Citation Score: 144.76697
- Similarity Product: 92.73643900703908

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