PATENT CLAIM ANALYSIS

Application Number: 16031956
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["348", "092000"]

Abstract:
A method for generating a quality inspection data block for a distributed ledger includes: determining an identification code associated with a sample to be inspected, inspecting the sample and thereby generating quality inspection data associated with the sample, and after completion of the inspecting of the sample combining the identification code and the quality inspection data into the quality inspection data block. The method also includes adding the quality inspection data block to the distributed ledger. An inspector including a sensor that senses a characteristic of a sample, a memory that stores sensor output data, and a processor configured to: determine an identification code associated with a sample to be inspected, generate quality inspection data based on the sensor output data, and combine the identification code and the quality inspection data into a quality inspection data block. In one example, the inspector is an in-flight 3D inspector.

Claim (Index 16):
The inspector of  claim 11 , wherein the quality inspection data block includes an indication of at least one of the group consisting of: an inspection entity, an inspection location, a sensor identification number, a lot number, a total weight value, an analysis completion timestamp, an amount of product analyzed value, a moisture content value, a kernel size value, a uniformity ratio, a percentage or number of passing samples, a percentage or number of dissimilar samples, a percentage or number of chipped and scratched samples, a percentage or number of samples that have serious damage, and a quality grade value.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 95.0
- Lexical Diversity: 2.66667
- Patent Class: 348.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15817240', '15995126', '15219870', '15995125', '12723674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6860549060524544
- 35 USC 102 Novelty (BERT): 0.5223686278116592
- Combined Prediction Score: 0.6696862782283749
- Mean Citation Score: 237.588866
- Max Citation Score: 315.62524
- Similarity Product: 180.37009953194143

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

Dataset: test