PATENT CLAIM ANALYSIS

Application Number: 15553090
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["235", "451000"]

Abstract:
The invention relates to the label production industry, more specifically to the production of labels with increased performance for improving and amplifying the function of a label. Even more specifically, the invention relates to a system that allows the handling of said label. Said smart label system is characterised in that it is formed by a smart label comprising a) a transparent or translucent film with a print on one of the faces thereof; a film of varnish on said print or on the opposite face, depending on whether the print is on the inside or on the outside, and on said varnish, there is another, different print in a special ink that becomes visible in the event of an attempt to remove the label from the item to which it is stuck, and on this print there is a layer of pressure-sensitive adhesive; b) a chip with an antenna between the varnish and the adhesive; c) an electronic mobile device for communicating with the chip; and ch) an algorithm on the chip and on the electronic mobile device for unique encoded reading (padlock) encryption.

Claim (Index 3):
Intelligent etching system as claimed in  claim 1 , further characterized in that the pressure-sensitive adhesive is a Hot Melt adhesive of high anchorage, ultra sensitive polymer-based, resistant to chemical transgressors.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 91.0
- Lexical Diversity: 2.22826
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12659030', '12659031', '11262828', '11866581', '15516029']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5183104430439244
- 35 USC 102 Novelty (BERT): 0.4812404914286565
- Combined Prediction Score: 0.5146034478823975
- Mean Citation Score: 101.6648468
- Max Citation Score: 102.58495
- Similarity Product: 60.56333368150293

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