PATENT CLAIM ANALYSIS

Application Number: 16201530
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-07
Patent Classification: ["404", "006000"]

Abstract:
A modular anti-vehicle barrier comprising a plurality of anti-vehicle devices provided with respective tubular support elements, which are spaced apart from one another and have respective vertical reference axes, respective regular polygonal shaped bases, which are designed to support said tubular support elements and are mutually arranged in abutment against the relative sides, fastening means designed to mutually connect the bases in order to form a single body, which constitutes a base of the anti-vehicle barrier; friction means, which are interposed between the bases and the upper bearing surface of the ground and are structured for countering by friction the movement of the anti-vehicle barrier caused by an impact of a vehicle against the same, a plurality of ballasts, which are designed to be coupled, in an easily removable manner, to the tubular support elements for adjusting the weight and/or the height of the modular anti-vehicle barrier.

Claim (Index 2):
The modular anti-vehicle barrier according to  claim 1 , wherein said ballasts ( 7 ) comprise weight bars ( 7 a ) structured to be easily engaged and extracted in/from respective tubular elements ( 3 ) thus forming the vertical columns.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.96296
- Patent Class: 404.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12115733', '16104714', '12841137', '10528462', '11569480']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6888726395719681
- 35 USC 102 Novelty (BERT): 0.4964551808801347
- Combined Prediction Score: 0.6696308937027847
- Mean Citation Score: 166.84796799999995
- Max Citation Score: 178.8771
- Similarity Product: 117.25006783987284

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