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 14):
The apparatus for identifying a traffic light according to  claim 13 , wherein the generating a training sample carrying an annotation based on the preset image set further comprises:\n randomly capturing, in response to determining the random number being greater than or equal to the preset value, the retrieved preset image with the preset length and the preset width, to obtain a second captured image, and determining the retrieved preset image and the second captured image as training samples, wherein the second captured image carries a category annotation indicating the category being a background category.

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): 0.4420995903748986
- 35 USC 102 Novelty (BERT): 0.5007557903433653
- Combined Prediction Score: 0.4479652103717453
- Mean Citation Score: 182.341522
- Max Citation Score: 195.85567
- Similarity Product: 112.65365231129287

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