PATENT CLAIM ANALYSIS

Application Number: 16059097
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["271", "003150"]

Abstract:
According to one embodiment, a tablet printing apparatus includes: a conveyor belt configured to convey a tablet; a print head configured to perform printing on the tablet conveyed by the conveyor belt; and a belt-position detector configured to detect the position of the conveyor belt in a direction crossing the conveying direction of the tablet in a horizontal plane. The conveyor belt includes a plurality of holes arranged in a row along the conveying direction of the tablet to hold the tablet. The belt-position detector includes an imaging device configured to capture an image of two or more of the holes; and an image processing device configured to detect the position of the conveyor belt in the crossing direction based on the image captured by the imaging device.

Claim (Index 2):
The tablet printing apparatus according to  claim 1 , wherein\n the imaging device is further configured to capture the image of the two or more of the holes while the conveyor belt is not moving, and the image processing device is further configured to detect that the conveyor belt is inclined with respect to the conveying direction of the tablet in the horizontal plane based on the image captured by the imaging device.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.51852
- Patent Class: 271.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15963549', '15897513', '16017397', '15567789', '15846843']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7772205292310276
- 35 USC 102 Novelty (BERT): 0.4925316675686454
- Combined Prediction Score: 0.7487516430647894
- Mean Citation Score: 240.63136
- Max Citation Score: 256.80023
- Similarity Product: 178.73072018999335

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