PATENT CLAIM ANALYSIS

Application Number: 15926889
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["348", "189000"]

Abstract:
A projection apparatus which is capable of, in a case where misalignment occurs between a printed image and a projected image when the projected image is projected on printed material based on image data, making the misalignment less conspicuous. Misalignment between the projected image projected on the printed material and the printed image formed on the printed material is detected. An image is projected on the printed material based on a converted image data obtained by converting a spatial frequency of at least one region of the image data into low frequency, the at least one region of the image data including the detected misalignment.

Claim (Index 8):
Control method for a projection apparatus which projects an image on printed material, the control method comprising:\n a detecting step of detecting a misalignment between a projected image, which is formed by projecting an image on the printed material based on image data, and a printed image formed on the printed material; and a control step of controlling to project an image on the printed material based on a converted image data obtained by converting a spatial frequency of at least one region of the image data into low frequency, the at least one region of the image data including the misalignment detected in the detecting step.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 2.41304
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15926908', '14854806', '14536717', '14378151', '14955392']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5999248967063789
- 35 USC 102 Novelty (BERT): 0.4798413649777367
- Combined Prediction Score: 0.5879165435335147
- Mean Citation Score: 159.772248
- Max Citation Score: 197.36552
- Similarity Product: 147.37413737488745

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