PATENT CLAIM ANALYSIS

Application Number: 16070985
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["156", "351000"]

Abstract:
A corrugated board sheet defect detecting device detects a defect in a single-faced cardboard sheet guided by a guide member with corrugated core paper facing outwards. The device includes a radiating device, an image capturing device, an image processing device, and an assessing device. The radiating device is configured to radiate light toward the core paper at a radiation angle relative to the single-faced cardboard sheet. The image capturing device is configured to capture an image of a portion of the core paper irradiated with the light. The image processing device is configured to a light portion and a dark portion in a direction in which the single-faced cardboard sheet is transported based on the captured image. The assessing device is configured to assess a quality by comparing a length of the light portion and a length of the dark portion.

Claim (Index 22):
The corrugated board sheet defect detecting device according to  claim 17 ,\n wherein the image processing device defines the light portion and the dark portion by adding up image capturing data pieces in a predetermined pixel unit in a width direction of the single-faced cardboard sheet based on the images captured by the image capturing device.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 95.0
- Lexical Diversity: 2.58621
- Patent Class: 156.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15564462', '12676990', '13389853', '14047253', '15742838']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.908351210319146
- 35 USC 102 Novelty (BERT): 0.5127444578859117
- Combined Prediction Score: 0.8687905350758226
- Mean Citation Score: 239.60249
- Max Citation Score: 276.15726
- Similarity Product: 180.0768070108581

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

Dataset: test