PATENT CLAIM ANALYSIS

Application Number: 16159484
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-07
Patent Classification: ["348", "156000"]

Abstract:
Systems and methods are provided for controlling access to a building or other restricted physical spaces using at least a facial recognition module, an access control panel and electronically lockable doors or other means of controlling access. The facial recognition module comprises visible light and IR detection. The facial recognition module detects multiple persons in the vicinity of an access control location, and may be configured to deny access to some or all of those persons unless all are recognized as authorized entrants.

Claim (Index 11):
A method for controlling access to a building or other physical space comprising:\n maintaining a database of faces of people with the right to access the building or other physical space; capturing at least a visible light image with at least a camera mounted in a facial recognition module located near a controlled access point to the building or other access-controlled physical space; capturing at least a first infrared image from a first infrared sensor mounted in the facial recognition module; performing facial recognition on a plurality of persons using at least said visible light image and said infrared image; determining whether each of the detected people in the vicinity of the controlled access point is authorized to enter the controlled access point; determining whether to unlock an electronic lock connected to said facial recognition module controlling access to a building or other controlled space based at least in part upon whether a specified number of faces of detected people match faces of people listed in the database with the right to access the building or other physical space.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.54386
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15481518', '14614300', '15494214', '10655124', '09518722']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5983528791132822
- 35 USC 102 Novelty (BERT): 0.4828359910118506
- Combined Prediction Score: 0.586801190303139
- Mean Citation Score: 156.96587
- Max Citation Score: 168.23373
- Similarity Product: 112.84918566761075

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