PATENT CLAIM ANALYSIS

Application Number: 16107197
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["340", "010510"]

Abstract:
A high speed tabletop and industrial printer is disclosed with integrated high speed RFID encoding and verification at the same time. The industrial printer simultaneously prints on and electronically encodes/verifies RFID labels, tags, and/or stickers attached to a continuous web. The industrial printer comprises a lighted sensor array for indexing the printing to the RFID tags; and a cutter powered from the industrial printer for cutting the web that the RFID tags are disposed on. The industrial printer comprises two RFID reader/writers that are individually controlled. Specifically, one of the RFID reader/writers comprises the ability to electronically encode the RFID tags while the web is moving; and the second RFID reader/writer uses an additional RFID module and antenna on the printer for verifying the data encoded to the RFID tags. The printer provides for successive writes to various memory blocks and optimizes the communication sequence between the interrogator and tag.

Claim (Index 3):
The process of  claim 2 , wherein implementation of the high level command stack optimization operation eliminates unnecessary overhead between the RFID printer and the RFID interrogator.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 96.0
- Lexical Diversity: 1.93976
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14882212', '14882194', '14882225', '14881740', '14881964']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7682037995740266
- 35 USC 102 Novelty (BERT): 0.553894604884031
- Combined Prediction Score: 0.7467728801050271
- Mean Citation Score: 379.4647059999999
- Max Citation Score: 414.67285
- Similarity Product: 312.3288695587903

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