PATENT CLAIM ANALYSIS

Application Number: 15951225
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["455", "041200"]

Abstract:
As sensor technology becomes more pervasive in our daily lives, an issue which arises is how to efficiently deal with the large volume of data created by these sensors. Typically, a sensor is capable of capturing far more information than is necessary for use in any given application. However, different types and amounts of data may be needed for different applications and different levels of accuracy at different times. Therefore, it is desirable that sensors are able to continue to collect comprehensive amounts of data and to send it to a unit which is able to optimize the data storage and transmission in order to reduce both upstream and downstream burdens caused by large sensor data volumes. Disclosed herein are several examples of communications devices. Communications devices can be modular, as shown, and/or stackable, as shown. An advantage to modular/stackable systems is that they can be easily customized to specific demands.

Claim (Index 2):
The communications device according to  claim 1 , further comprising computer readable instructions on the memory for adding the determined actual location of the external sensor to received sensor data from said external sensor.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 91.0
- Lexical Diversity: 1.63366
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15475914', '11695968', '12354490', '11267761', '15053005']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6177876942456785
- 35 USC 102 Novelty (BERT): 0.4947342560201425
- Combined Prediction Score: 0.6054823504231249
- Mean Citation Score: 132.8236612
- Max Citation Score: 227.9103
- Similarity Product: 174.4285498550713

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