PATENT CLAIM ANALYSIS

Application Number: 15756310
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["348", "148000"]

Abstract:
An anti-glare type vehicle road signboard and a road lane identification device is provided. The anti-glare type vehicle road signboard and road lane identification device includes: a light-irradiating unit provided in a vehicle for irradiating a non-visible light beam to the front of the vehicle while traveling; an image photographing unit for photographing an image reflected onto the road signboard and the road lane from the light irradiated by the light irradiating unit; and a shape projecting unit for transmitting an image signal photographed by the image photographing unit while traveling and projecting a high luminance light in a state wherein the shapes of the road lane and the road signboard overlap each other to thereby have the road signboard and the road lane clearly seen.

Claim (Index 5):
The device of  claim 1 , wherein when the vehicle moves forward, left, and right and oscillates up and down, the figure projection unit synchronizes movement of the road signboard and the road lane with a screen angle of the image capturing unit, traces the movement of the road signboard and the road lane, and projects high luminance light such that the road signboard and the road lane overlap each other.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 88.0
- Lexical Diversity: 2.29825
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14512503', '12628617', '15153582', '12168150', '11826161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6405314979937634
- 35 USC 102 Novelty (BERT): 0.4907185671095085
- Combined Prediction Score: 0.6255502049053379
- Mean Citation Score: 188.55255
- Max Citation Score: 205.97325
- Similarity Product: 143.58496820390224

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

Dataset: test