PATENT CLAIM ANALYSIS

Application Number: 15926785
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["404", "084050"]

Abstract:
An improved automated tape applicator that applies pavement marking tape to a pavement surface. The automated tape applicator may include dual knives for cutting two or more patterns simultaneously, a hinged frame that permits an adhesion roller to be lifted off the ground when not in active use, an electronic clutch for selectively engaging a tape feed mechanism, a swiveling front tire, an automated controller for simultaneous application of multiple markings and accurate dimensioning, and/or replaceable knife inserts.

Claim (Index 8):
The automated tape applicator of  claim 7 , wherein said automated controller calculates a distance traveled by said automated tape applicator as a function of said signal from said sensor and transmits control signals to direct operation of:\n said first knife actuator; said second knife actuator; and said upper feed mechanism actuator; wherein said operation of said first knife actuation, said second knife actuator, and said upper feed mechanism actuator according to said control signals results in application of pavement marking tape from said first roll of pavement marking tape according to said first pattern and application of pavement marking tape from said second roll of pavement marking tape according to said second pattern.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.32812
- Patent Class: 404.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13137550', '12444756', '09843005', '10415780', '12318877']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.740017805519248
- 35 USC 102 Novelty (BERT): 0.4902408401610402
- Combined Prediction Score: 0.7150401089834273
- Mean Citation Score: 182.497114
- Max Citation Score: 188.39261
- Similarity Product: 124.63792198675394

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