PATENT CLAIM ANALYSIS

Application Number: 16209376
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["348", "756000"]

Abstract:
A multi-beam scanning system and methods of operating the same to compensate for distortion are provided. Generally, the method involves illuminating a spatial light modulator including SLM pixels arranged in parallel, each pixel including a multiple address pixels. Drive signals including image data are provided to the pixels to generate beams of modulated light reflected therefrom, which is scanned to a linear swath of a two-dimensional imaging plane using a collimate lens, a scan mirror moved about a first axis, and an imaging lens. The swath is scanned across the imaging plane in a direction orthogonal to a long axis of the swath by moving the scan mirror about a second axis. To compensate for distortion along the long axis of the swath compensated image data is provided to at least some of the address pixels generating beams of modulated light distal from an optical axis of the imaging lens.

Claim (Index 7):
The method of  claim 1  wherein the number of SLM pixels comprises at least two SLM pixels including a number of address pixels arranged so that modulated light beams originating from address pixels in each of the two SLM pixels overlaps in the linear swath scanned onto the 2D imaging plane.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 98.0
- Lexical Diversity: 1.97531
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12151189', '10768199', '11287678', '13245655', '14721013']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6570456339592062
- 35 USC 102 Novelty (BERT): 0.4855141359140263
- Combined Prediction Score: 0.6398924841546882
- Mean Citation Score: 213.007996
- Max Citation Score: 220.1914
- Similarity Product: 169.3796435824871

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