PATENT CLAIM ANALYSIS

Application Number: 15924880
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["382", "118000"]

Abstract:
Devices, systems, and methods provide for improved facial detection and facial recognition in vehicle interior inspections. In various embodiments, one or more high-resolution cameras having one or more lens and filter attachments operate in conjunction with one or more auxiliary illumination devices and a related computer system. According to various embodiments, an auxiliary illumination device can be synchronized to one or more cameras, and configured to supply auxiliary illumination to facilitate capture of accurate and usable images. The filter(s) and advanced image processing solutions assist with facial detection and identifying individuals inside a vehicle, removing light glare and undesired reflections from a window surface, and capturing an image through a tinted window, among other things. Further, embodiments can compare a captured image to an authenticated image from a database, in order to confirm the identity of a vehicle occupant.

Claim (Index 7):
The method of  claim 1 , including the step of authenticating the at least one vehicle occupant for access to an access-controlled asset based upon the step of comparing, and further based upon one or more of: a detected license plate number, an under-vehicle image, and a readable tag on the vehicle.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 90.0
- Lexical Diversity: 1.76404
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15608422', '10413426', '10116808', '13473955', '10895121']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.347553439352717
- 35 USC 102 Novelty (BERT): 0.5142369181840618
- Combined Prediction Score: 0.3642217872358514
- Mean Citation Score: 194.545004
- Max Citation Score: 323.80966
- Similarity Product: 298.7458951951015

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