PATENT CLAIM ANALYSIS

Application Number: 16513541
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
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 5):
The method of  claim 4 , wherein the deriving comprises converting the initial frame to an intermediate frame in the second color space or scheme.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.0
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16105775', '15360883', '15299211', '15373845', '15129655']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.56794398726402
- 35 USC 102 Novelty (BERT): 0.5060300027432794
- Combined Prediction Score: 0.5617525888119459
- Mean Citation Score: 142.27401379999995
- Max Citation Score: 223.13858
- Similarity Product: 150.19546811272977

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