PATENT CLAIM ANALYSIS

Application Number: 15878449
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["702", "081000"]

Abstract:
A method for receiving data and providing calculated adjustments to a paint application process can comprise receiving at the server a first operating parameter associated with a first paint processing machine at a first painting facility. The method can also comprise receiving at the server a first quality control measurement from an analysis of a finished first paint product. Additionally, the method can comprise accessing from a database a set of historical operating parameters associated with the first painting processing machine. Further, the method can comprise automatically identifying a deficiency in the finished first paint product based upon the first quality control measurement. Further still, the method can comprise transmitting to a mobile computing device screen a proposed adjustment to the first operating parameter that will correct the deficiency.

Claim (Index 40):
The system as recited in  claim 32 , wherein receiving a plurality of quality control measurements further comprises receiving data in the form of one or more of (i) near field communication or data capture data, (ii) bar or QR reader data, (iii) one or more voice recordings; or (iv) one or more camera readings:\n adjusting the one or more initial paint formulas based on the received quality control measurement data.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 2.10769
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14607872', '10696789', '15555429', '14489308', '15047950']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2041710629926966
- 35 USC 102 Novelty (BERT): 0.4819350917342433
- Combined Prediction Score: 0.2319474658668513
- Mean Citation Score: 147.522694
- Max Citation Score: 155.83217
- Similarity Product: 104.33137369076071

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

Dataset: test