PATENT CLAIM ANALYSIS

Application Number: 16160907
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["340", "010100"]

Abstract:
A wireless identification system and method used for identifying medical vials having a metallic crimp includes an RFID tag having a first antenna element located at the crimp so as to be capacitively coupled to the crimp to increase the effective surface area of the RFID antenna, and a second antenna element mounted to the side of the vial between the ends of the labeling mounted on the vial so as to not mask any visually readable information of the labeling. Dielectric adhesive is used in one embodiment to couple the antenna element to the crimp. The invention is particularly useful for small vials. A manufacturing method in which the wireless tag is an integral part of the container is disclosed.

Claim (Index 4):
The system for identifying a medical container of  claim 3  wherein the dielectric element comprises adhesive located on either side of the dielectric element whereby the first antenna element is held by adhesive to one side of the dielectric element and the metallic closure is held by adhesive to an opposite side of the dielectric element from the antenna element, whereby the antenna element is capacitively coupled to the electrically conductive cap.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.8
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15451310', '14142610', '14752837', '15785389', '15627366']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.741886700804013
- 35 USC 102 Novelty (BERT): 0.5957924824306227
- Combined Prediction Score: 0.7272772789666739
- Mean Citation Score: 359.42508200000015
- Max Citation Score: 519.34955
- Similarity Product: 432.6615771937162

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

Dataset: test