PATENT CLAIM ANALYSIS

Application Number: 15954152
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["705", "026620"]

Abstract:
Methods, systems, and computer programs are presented for identifying the brand and model of products embedded within an image. One method includes operations for receiving, via a graphical user interface (GUI), a selection of an image, and for analyzing the image to determine a location within the image of one or more products. For each product in the image, determining a unique identification of the product is determined, the unique identification including a manufacturer of the product and a model identifier. The method further includes an operation for presenting information about the one or more products in the GUI with a selection option for selecting each of the one or more products. Additionally, the method includes operations for receiving a product selection for one of the one or more products, and presenting shopping options in the GUI for purchasing the selected product.

Claim (Index 3):
The method as recited in  claim 2 , wherein the machine-learning classifier is trained with labeled data, the labeled data including one or more of information from a vendor's database, a product database, or information gathered from a shopping website.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.35821
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15797117', '14292294', '15799599', '13693126', '15859627']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.088126224856454
- 35 USC 102 Novelty (BERT): 0.4686105927338997
- Combined Prediction Score: 0.1261746616441985
- Mean Citation Score: 119.9706602
- Max Citation Score: 130.23637
- Similarity Product: 96.67537005797922

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

Dataset: test