PATENT CLAIM ANALYSIS

Application Number: 16154130
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-06
Patent Classification: ["348", "159000"]

Abstract:
A method of detecting occupants in a vehicle includes detecting an oncoming vehicle and acquiring a plurality of images of occupants in the vehicle in response to detection of the vehicle. The method includes performing automated facial detection on the plurality of images and adding a facial image for each face detected to a gallery of facial images for the occupants of the vehicle. The method includes performing automated facial recognition on the gallery of facial images to group the facial images into groups based on which occupant is in the respective facial images, and counting the final group of unique facial images to determine how many occupants are in the vehicle.

Claim (Index 14):
A system for detecting occupants in a vehicle comprising:\n a controller; a plurality of camera systems external to the vehicle in a vehicle approach area, each camera system operatively connected to the controller; and a trigger in the vehicle approach area and operatively connected to the controller to detect an approaching vehicle and control the camera systems to acquire images of the approaching vehicle; wherein the controller includes machine readable instructions configured to cause the controller to:\n detect an oncoming vehicle with the trigger; \n acquire a plurality of images of occupants in a vehicle in response to detection of the oncoming vehicle using the plurality of camera systems; \n perform automated facial detection on the plurality of images and adding a facial image for each face detected to a gallery of facial images for the occupants of the vehicle; \n perform automated facial recognition on the gallery of facial images to group the facial images into groups based on which occupant is in the respective facial images; and \n count the groups to determine how many occupants are in the vehicle.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 97.0
- Lexical Diversity: 2.36735
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15608422', '15924880', '13324308', '10974282', '15505005']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6386216386531851
- 35 USC 102 Novelty (BERT): 0.4722164809975713
- Combined Prediction Score: 0.6219811228876237
- Mean Citation Score: 189.693098
- Max Citation Score: 208.92345
- Similarity Product: 173.95047338448464

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test