PATENT CLAIM ANALYSIS

Application Number: 15963755
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
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. The material sorting system may include an x-ray fluorescence system to perform a classification of the materials in combination with the vision system, whereby the classification efforts of the vision system and x-ray fluorescence system are combined in order to classify and sort the materials.

Claim (Index 1):
A system for classifying and sorting a first heterogeneous mix of materials comprising:\n a first device configured to produce image data of the first heterogeneous mix of materials; a first conveyor system configured to convey the first heterogeneous mix of materials past the first device; a first data processing system comprising a machine learning system configured to assign a first classification to a first one of the materials based on the image data of the first heterogeneous mix of materials, 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 the first one of the materials; and a first sorter configured to sort the first one of the materials from the first heterogeneous mix of materials as a function of the first classification of the first one of the materials.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 91.0
- Lexical Diversity: 1.78
- Patent Class: 209.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15213129', '12826315', '11986830', '13600969', '13114223']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.662092286761895
- 35 USC 102 Novelty (BERT): 0.5329900657373248
- Combined Prediction Score: 0.649182064659438
- Mean Citation Score: 251.409188
- Max Citation Score: 380.98532
- Similarity Product: 243.85328513612987

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