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 6):
The system as recited in  claim 1 , wherein the machine learning system comprises an artificial intelligence neural network.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 100.0
- Lexical Diversity: 1.27907
- Patent Class: 209.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15213129', '16358374', '14747341', '12826315', '12326262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7285423090915999
- 35 USC 102 Novelty (BERT): 0.5333607127096286
- Combined Prediction Score: 0.7090241494534028
- Mean Citation Score: 243.136658
- Max Citation Score: 334.09674
- Similarity Product: 189.3099944574165

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