PATENT CLAIM ANALYSIS

Application Number: 16109825
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-06
Patent Classification: ["347", "253000"]

Abstract:
An imaging device has a photoconductive drum with a surface that is charged and selectively discharged to create a latent electrostatic image of an image to-be-printed for attracting toner for transfer to a media. A memory of the imaging device stores energy density values for use by the laser beam that can be accessed by a controller according to a predetermined number of media imaged by the photoconductive drum. During imaging, the controller controls the laser beam based on the stored energy density values. The energy density of the laser beam is increased or decreased when the laser beam is scanned along the photoconductive drum.

Claim (Index 1):
In an imaging device having a photoconductive drum including a surface that is selectively discharged by a laser beam to form a latent electrostatic image for attracting toner for transfer to a media, a method comprising:\n storing in a memory of the imaging device energy density values for the laser beam according to a coating thickness of the photoconductive drum that can be accessed by a controller to control the laser beam; and controlling by the controller the laser beam based on the stored energy density values by increasing or decreasing energy density of the laser beam when the laser beam is scanned along the photoconductive drum.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.80328
- Patent Class: 347.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15728580', '11358351', '15446386', '15371411', '11977364']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7123487417373714
- 35 USC 102 Novelty (BERT): 0.5194875923483033
- Combined Prediction Score: 0.6930626267984646
- Mean Citation Score: 177.757458
- Max Citation Score: 348.92072
- Similarity Product: 336.80330051969526

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