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 8):
The system as recited in  claim 7 , wherein the plurality of pieces of the first one of the materials includes one or more pieces of wrought aluminum and one or more pieces of cast aluminum, wherein the second classification distinguishes wrought aluminum from cast aluminum so that the second sorter is configured to sort the one or more pieces of wrought aluminum from the one or more pieces of cast aluminum.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 91.0
- Lexical Diversity: 1.78
- Patent Class: 209.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15213129', '12826315', '11986830', '13600969', '13114223']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6865186150743664
- 35 USC 102 Novelty (BERT): 0.5363803873801294
- Combined Prediction Score: 0.6715047923049428
- Mean Citation Score: 251.409188
- Max Citation Score: 380.98532
- Similarity Product: 303.7820925601601

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