PATENT CLAIM ANALYSIS

Application Number: 15926724
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["353", "101000"]

Abstract:
An autofocus method for a projector is provided. A projection lens of the projector projects at least projecting one image. The image includes a correction image. The projection lens has a focal length. The autofocus method includes: projecting the correction image; capturing the correction image; capturing a luminance parameter value of the correction image; controlling the focal length of the projection lens according to the luminance parameter value, wherein a process of controlling the focal length of the projection lens according to the luminance parameter value comprises a coarse adjustment phase and a fine adjustment phase, and the luminance parameter value changes with the adjustment of the focal length of the projection lens; and finding a maximum of the luminance parameter value. An autofocus system and a projector having the autofocus system are also provided.

Claim (Index 7):
The projector according to  claim 5 , further comprising a memory, wherein the memory is electrically connected to the processor and adapted to store the luminance parameter value provided from the image signal processor, a maximum of the luminance parameter value or the threshold.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.84615
- Patent Class: 353.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10790214', '12082528', '12541248', '11319269', '15522619']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7092367330627868
- 35 USC 102 Novelty (BERT): 0.4975605991909804
- Combined Prediction Score: 0.6880691196756061
- Mean Citation Score: 203.238968
- Max Citation Score: 221.69945
- Similarity Product: 149.89079018336534

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

Dataset: test