PATENT CLAIM ANALYSIS

Application Number: 16375675
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["209", "586000"]

Abstract:
A material sorting system sorts materials utilizing a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum or cast aluminum.

Claim (Index 8):
A method for classifying and sorting a first mixture of materials comprising wrought and cast aluminum scrap pieces, the method comprising:\n producing image data of the first mixture of materials comprising wrought and cast aluminum scrap pieces; assigning with a machine learning system a first classification to certain ones of the first mixture of materials as wrought aluminum scrap pieces based on the image data of the first mixture, wherein the first classification is based on a first knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of wrought aluminum scrap pieces; and sorting the certain ones of the first mixture of materials from the first mixture as a function of the first classification.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 100.0
- Lexical Diversity: 1.27907
- Patent Class: 209.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15213129', '16358374', '14747341', '12826315', '12326262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7043649363878214
- 35 USC 102 Novelty (BERT): 0.5264004439350473
- Combined Prediction Score: 0.6865684871425439
- Mean Citation Score: 243.136658
- Max Citation Score: 334.09674
- Similarity Product: 242.6159495146823

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

Dataset: test