PATENT CLAIM ANALYSIS

Application Number: 16049026
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["701", "028000"]

Abstract:
The disclosure discloses a method and apparatus for identifying a traffic light. An embodiment of the method comprises: zooming a to-be-processed image acquired by an image acquisition device by at least one preset ratio to obtain at least one zoomed image; inputting the at least one zoomed image into a pre-trained convolutional neural network to obtain location information and category information of a traffic light corresponding to each zoomed image of the at least one zoomed image, wherein the convolutional neural network is used for retrieving location information and category information of a traffic light displayed in an image; and analyzing the obtained location information and category information to generate at least one candidate traffic light identification result, and fusing the generated candidate traffic light identification result to generate a traffic light identification result corresponding to the to-be-processed image. The embodiment improves the accuracy in identifying a traffic light.

Claim (Index 15):
The apparatus for identifying a traffic light according to  claim 13 , wherein the category set comprises: a background category set, a daytime red light category set, a daytime yellow light category set, a daytime green light category set, a daytime black light category set, a night red light category set, a night yellow light category set, and a night green light category set.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 95.0
- Lexical Diversity: 2.49206
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16001855', '15721881', '14723373', '14726172', '15470360']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.440028798551316
- 35 USC 102 Novelty (BERT): 0.5090645591645778
- Combined Prediction Score: 0.4469323746126422
- Mean Citation Score: 182.341522
- Max Citation Score: 195.85567
- Similarity Product: 100.7547417778897

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

Dataset: test