PATENT CLAIM ANALYSIS

Application Number: 16358374
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
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 have a specified geometric shape. Such a system can sort monetary coins or other valuable metals from other forms of scrap.

Claim (Index 17):
A computer program product stored on a computer readable storage medium, which when executed, performs a method for classifying materials for sorting, comprising:\n receiving image data of each piece of a heterogeneous mixture of materials moving in a stream past a vision system camera, wherein the materials in the heterogeneous mixture of materials have various different shapes including one or more different closed geometric shapes; classifying the materials that have a specified closed geometric shape into a first classification designated as monetary coins; classifying the materials that do not have the specified closed geometric shape into a second classification; and sending to an automated sorting device information regarding the classifications so that the automated sorting device can sort the materials classified into the first classification from the materials classified into the second classification, wherein the one or more different closed geometric shapes are selected from a group consisting of circles and polygons.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 99.0
- Lexical Diversity: 1.28302
- Patent Class: 209.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15213129', '15198159', '12826315', '13600969', '14747341']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.549594809249484
- 35 USC 102 Novelty (BERT): 0.4981591390411306
- Combined Prediction Score: 0.5444512422286487
- Mean Citation Score: 108.0399038
- Max Citation Score: 147.38335
- Similarity Product: 87.15854651092887

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