PATENT CLAIM ANALYSIS

Application Number: 16105775
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["348", "148000"]

Abstract:
A method is disclosed for detecting and classifying one or more traffic lights. The method may include converting an RGB frame to an HSV frame. The HSV frame may be filtered by at least one threshold value to obtain at least one saturation frame. At least one contour may be extracted from the at least one saturation frame. Accordingly, a first portion of the RGB may be cropped in order to encompass an area including the at least one contour. The first portion may then be classified by an artificial neural network to determined whether the first portion corresponds to a not-a-traffic-light class, a red-traffic-light class, a green-traffic-light class, a yellow-traffic-light class, or the like.

Claim (Index 18):
A system comprising:\n a vehicle; at least one forward-looking camera secured to the vehicle and configured to capture an initial frame; at least one processor carried on-board the vehicle; and memory operably connected to the at least one processor, the memory storing\n a computer-vision module programmed to process the initial frame by (1) converting the initial frame to an intermediate frame in a different color space or scheme, (2) obtaining at least one threshold frame by filtering out from the intermediate frame all pixels having below a threshold on a specific channel or component of the different color space or scheme, (3) extracting at least one first contour from the at least one threshold frame, and (4) cropping out a first portion of the initial frame, the first portion encompassing a first area including the at least one first contour, and \n a neural network module programmed to determine an affinity score between the first portion and each class of a plurality of classes.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.0
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15360883', '15299211', '15373845', '15129655', '11109106']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5345158397650129
- 35 USC 102 Novelty (BERT): 0.4932480333827561
- Combined Prediction Score: 0.5303890591267872
- Mean Citation Score: 135.5818272
- Max Citation Score: 216.94699
- Similarity Product: 162.37941456095697

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