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 7):
The system as recited in  claim 1 , wherein the sorting by the first sorter of the first one of the materials from the first heterogeneous mix of materials results in a plurality of pieces of the first one of the materials, the system further comprising:\n a second device configured to produce image data of the plurality of pieces of the first one of the materials; a second conveyor system configured to convey the plurality of pieces of the first one of the materials past the second device after the plurality of pieces of the first one of the materials has been sorted by the first sorter from the first heterogeneous mix of materials; a second data processing system comprising a machine learning system configured to assign a second classification to certain ones of the plurality of pieces of the first one of the materials based on the image data of the plurality of pieces of the first one of the materials, wherein the second classification is based on a second knowledge base containing a previously generated library of observed characteristics captured from a homogenous set of samples of the certain ones of the plurality of pieces of the first one of the materials; and a second sorter configured to sort the certain ones of the plurality of pieces of the first one of the materials from the plurality of pieces of the first one of the materials as a function of the second classification.

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): 0.6606526568228815
- 35 USC 102 Novelty (BERT): 0.5339210649560768
- Combined Prediction Score: 0.6479794976362011
- Mean Citation Score: 251.409188
- Max Citation Score: 380.98532
- Similarity Product: 294.39739838767287

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