PATENT CLAIM ANALYSIS

Application Number: 16044047
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-04
Patent Classification: ["313", "116000"]

Abstract:
Techniques for creating, configuring, and employing diffusion light devices are presented. Such light device(s) can comprise or be associated with a light management component (LMC) that can employ sensors to monitor environmental conditions in a defined area of people or vehicles, and a diffusion component that can diffuse or otherwise process light. At a least a portion of the diffusion component and/or a light component can be formed of a fabric that can emit light and/or diffuse light. LMC can enhance function of the light device to manage diffusion of light or perform other tasks to enhance user experience and safety and security of people or vehicles. Based on results of analyzing sensor data relating to the conditions, LMC can determine and facilitate implementing an adjustment(s) to a parameter(s) of the diffusion component or light component to achieve desired emission or diffusion of light.

Claim (Index 4):
The system of  claim 1 , wherein the fabric comprises nano-particles, and wherein the light management component is further configured to control the nano-particles to facilitate the controlling of the diffusion of at least one of the light or the other light by the diffusion component.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 2.10256
- Patent Class: 313.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16044073', '14305494', '14029144', '14642687', '13673128']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7146437252612166
- 35 USC 102 Novelty (BERT): 0.4965777916751673
- Combined Prediction Score: 0.6928371319026116
- Mean Citation Score: 187.362908
- Max Citation Score: 245.53008
- Similarity Product: 155.05075418214795

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