PATENT CLAIM ANALYSIS

Application Number: 15875974
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["700", "186000"]

Abstract:
A method and system are provided for automatically portioning workpieces, such as food products, by simulating portioning the workpieces in accordance with the one or more desired shapes of the final piece(s) as a directly controlled physical characteristic (parameter/specification) as well as one or more resulting indirectly controlled physical characteristics (parameters/specifications). The desired shape(s) of the final piece(s) are defined by a plurality of manipulatable reference coordinates. A workpiece is scanned to obtain scanning information, then portioning of the workpiece is simulated in accordance with the desired shape(s) of the final piece(s) defined by the directly controlled reference coordinates, thereby to determine the one or more indirectly controlled physical characteristics of the one or more final pieces to be portioned from the workpiece. The simulated portioning of the workpiece is performed for multiple combinations of directly controlled shapes as defined by the modified or edited reference coordinates and indirectly controlled physical characteristics until an acceptable set of a directly controlled shape and resulting one or more indirectly controlled physical characteristics is determined.

Claim (Index 4):
The method of  claim 3 , wherein the adjustable two-dimensional reference shape is formed of a food product or food product simulation material that has been cut or formed into the reference shape.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 2.61842
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13571298', '12369674', '13358423', '13013771', '12369687']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4975714834006817
- 35 USC 102 Novelty (BERT): 0.5293267269822842
- Combined Prediction Score: 0.500747007758842
- Mean Citation Score: 335.1960160000001
- Max Citation Score: 364.9954
- Similarity Product: 306.2191702451468

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test