PATENT CLAIM ANALYSIS

Application Number: 15916980
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "100000"]

Abstract:
A system and method that gathers and labels images for use by a machine learning algorithm for image classification is disclosed. The method includes acquiring a preview image including a portion of a scene, generating a user interface including the preview image, performing object detection on the preview image to detect a set of items, adding, to the first preview image, a set of regions of interest based on the object detection, each region of interest highlighting a location of a corresponding item in the set of items, receiving an image corresponding to the preview image, determining an object identifier associated with an item, and labeling the item in the image using the object identifier and a region of interest corresponding to the item.

Claim (Index 11):
The system of  claim 10 , wherein to label the first item in the second image, the instructions further cause the one or more processors to:\n crop a fourth image of the first item from the second image using the region of interest corresponding to the first item; label the fourth image of the first item with a universal product code; and store the labeled fourth image.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 90.0
- Lexical Diversity: 2.21311
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15467093', '14791374', '15715081', '14791376', '15457876']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3374465015325698
- 35 USC 102 Novelty (BERT): 0.4942466099440204
- Combined Prediction Score: 0.3531265123737148
- Mean Citation Score: 162.679016
- Max Citation Score: 166.87918
- Similarity Product: 102.29224835104704

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