PATENT CLAIM ANALYSIS

Application Number: 16139218
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["348", "148000"]

Abstract:
A camera module includes: an image capturing unit configured to image an interior of a vehicle; and an illumination unit configured to illuminate the interior of the vehicle, in which the illumination unit includes a light source and an illumination lens configured to transmit a light beam from the light source, and the illumination lens sets an irradiation area having an irradiation width in a horizontal direction greater than an irradiation width in a vertical direction by reducing an area to which the light beam of the light source is transmitted in the vertical direction.

Claim (Index 1):
A camera module comprising:\n an image capturing unit configured to image an interior of a vehicle; and an illumination unit configured to illuminate the interior of the vehicle, wherein the illumination unit includes a light source and an illumination lens configured to transmit a light beam from the light source, and the illumination lens sets an irradiation area having an irradiation width in a horizontal direction greater than an irradiation width in a vertical direction by reducing an area to which the light beam of the light source is transmitted in the vertical direction.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 97.0
- Lexical Diversity: 2.27273
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10916607', '10968924', '12776697', '10305111', '10084764']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6059237177004346
- 35 USC 102 Novelty (BERT): 0.4655643426653914
- Combined Prediction Score: 0.5918877801969303
- Mean Citation Score: 155.20234
- Max Citation Score: 170.73273999999995
- Similarity Product: 133.95847830110307

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

Dataset: test