PATENT CLAIM ANALYSIS

Application Number: 15936923
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["209", "580000"]

Abstract:
A system and a method of sorting scrap particles is provided. A moving conveyor containing scrap particles is imaged using a vision system to create a vision image corresponding to a timed location of the conveyor, and is sensed using a sensing system to create a sensing matrix corresponding to the timed location. The sensing system has at least one array of analog proximity sensors. A control system analyzes the vision image as a vision matrix of cells, and generates a vision vector containing vision data from the vision matrix for the particle. The control system analyzes the sensing matrix, and generates a sensing data vector containing sensing data from the sensing matrix for the particle. The control system classifies the particle into one of at least two classifications of a material as a function of the vision data vector and the sensing data vector.

Claim (Index 17):
A system for sorting randomly positioned scrap material particles on a moving conveyor, the system comprising:\n a vision system having an imaging sensor and an illuminated predefined viewing area to image a conveyor passing therethrough at a time interval; a sensor system having an array of analog inductive proximity sensors arranged in a single common plane arranged generally parallel to the conveyor; and a control system configured to receive and process image data acquired from the vision system to identify a scrap particle on the conveyor in the viewing area, analyze the vision data for the particle to form a vision data vector, receive and process sensor data acquired from the sensing system and timed to correspond with the vision data to identify the scrap particle on the conveyor, analyze the sensor data for the particle to form a sensor data vector, and classify the particle into a classification of material using the vision data vector and the sensing data vector.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 2.85185
- Patent Class: 209.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15198159', '13978118', '14938962', '12463776', '15588230']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6315726098189816
- 35 USC 102 Novelty (BERT): 0.5063281488410802
- Combined Prediction Score: 0.6190481637211914
- Mean Citation Score: 178.04539000000003
- Max Citation Score: 301.60294
- Similarity Product: 247.75948162677884

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