PATENT CLAIM ANALYSIS

Application Number: 16284916
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["709", "232000"]

Abstract:
Disclosed herein are various embodiments of systems and methods that may be utilized in a variety of videoconferencing applications. According to various embodiments, techniques may be utilized to dynamically allocate and adjust bandwidth utilization during a videoconferencing session. A data network may allow for the transmission of data between two or more endpoints. The data exchanged between the endpoints may include video data, audio data, control data, and status data. Control data may be utilized in various embodiments to operate a robotic videoconferencing endpoint. Accordingly, various components of a data network connecting videoconferencing endpoints may transmit data wirelessly.

Claim (Index 15):
The videoconferencing endpoint of  claim 1 , wherein the bandwidth allocation module is further configured to display a first graphical indicator representing an estimated data communication bandwidth capacity between the video conferencing endpoint and the network; and to display a second graphical indicator representing a current data transmission rate, the current data transmission rate being less than the estimated data communication bandwidth capacity between the video conferencing endpoint and the network.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 99.0
- Lexical Diversity: 1.87931
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12959550', '15013656', '15207023', '09819548', '14929586']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2974162037539261
- 35 USC 102 Novelty (BERT): 0.4954359887891398
- Combined Prediction Score: 0.3172181822574474
- Mean Citation Score: 195.550416
- Max Citation Score: 294.8932
- Similarity Product: 274.25804287409784

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