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 12):
The inspector of  claim 11 , wherein the sensor is one of a group consisting of: an optical sensor, a moisture sensor, a microtoxin sensor, a thermometer sensor, an acidity sensor, a microwave sensor, a pressure sensor, a level sensor, an ultrasonic sensor, a flow sensor, a viscosity sensor, a conductance/impedance sensor, an electronic nose (sniffing) sensor, an X-ray sensor, a multi spectral (visual/non visual) sensor, a weight sensor, a refractometer sensor, a tenderometer sensor, a firmness sensor, and a hardness sensor.

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): 0.6862293942075663
- 35 USC 102 Novelty (BERT): 0.5203435188859886
- Combined Prediction Score: 0.6696408066754086
- Mean Citation Score: 237.588866
- Max Citation Score: 315.62524
- Similarity Product: 195.0136842415786

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