PATENT CLAIM ANALYSIS

Application Number: 16072212
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["355", "055000"]

Abstract:
A scanning mirror monitoring system and method as well as a focusing and leveling system are disclosed. The scanning mirror monitoring system includes a simple harmonic motion detector unit and a signal processing unit ( 25 ). The simple harmonic motion detector unit monitors a simple harmonic motion of a scanning mirror ( 8 ) and produces a simple harmonic signal. The signal processing unit ( 25 ) receives the simple harmonic signal and instructs a scanning mirror actuator unit ( 27 ) to adjust the amplitude and/or position of the scanning mirror ( 8 ) based on a variation found in the simple harmonic signal. The signal processing unit ( 25 ) identifies the variation by monitoring an optical intensity profile.

Claim (Index 16):
The focusing and leveling system of  claim 15 , further comprising a beam splitting prism disposed between the scanning mirror and the first projection unit, the beam splitting prism configured to split the first detection light spot into a first detecting beam and a second detecting beam, the first detecting beam incident on one surface of the scanning mirror, the second detecting beam reflected onto the other surface of the scanning mirror.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 95.0
- Lexical Diversity: 2.44231
- Patent Class: 355.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15531225', '13238139', '10461234', '14366637', '12516122']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6565510156600421
- 35 USC 102 Novelty (BERT): 0.4917704084276404
- Combined Prediction Score: 0.640072954936802
- Mean Citation Score: 224.798442
- Max Citation Score: 279.06946
- Similarity Product: 235.25610223281143

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