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 10):
An access control system comprising:\n at least one camera for acquisition of at least one image of the face of an individual presenting in a zone where the access control is verified, a processing unit adapted to the determination on this image of the biometric characteristics of the face of the individual, said computer unit also being adapted to the comparison of these biometric characteristics of the face of the individual with biometric characteristics stored in a reference document or in a database and authorizing or not access to the reserved zone as a function of the result of this comparison, wherein it also comprises a fraud detection system according to  claim 9 .

Metadata:
- Claim Count in Document: 18.0
- Percentile: 96.0
- Lexical Diversity: 2.0625
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14342358', '15335106', '15223284', '15934105', '14048616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6566985459237512
- 35 USC 102 Novelty (BERT): 0.4819716320443895
- Combined Prediction Score: 0.6392258545358152
- Mean Citation Score: 139.37091
- Max Citation Score: 169.2746
- Similarity Product: 123.59800570671558

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