PATENT CLAIM ANALYSIS

Application Number: 16057657
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["340", "005520"]

Abstract:
A fraud detection method for access control via facial recognition, wherein the following are carried out in the region of a zone where the access control is verified for an individual presenting in the region of the zone: a measure of the weight of the individual, at least one weight sensor being provided on the ground for this purpose; an estimation of the weight of the individual by processing by a computer unit of an image acquired of the face of an individual presenting at the access control; a comparison by the computer unit between the estimated weight and the measured weight and wherein the computer unit triggers or not the sending of a fraud detection signal as a function of the result of this comparison.

Claim (Index 6):
The method according to  claim 5 , wherein the given margin of error is of the order of 20 kg.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 96.0
- Lexical Diversity: 2.0625
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14342358', '15335106', '15223284', '15934105', '14048616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6759000675375112
- 35 USC 102 Novelty (BERT): 0.5152574707191433
- Combined Prediction Score: 0.6598358078556744
- Mean Citation Score: 139.37091
- Max Citation Score: 169.2746
- Similarity Product: 90.26485883756877

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