PATENT CLAIM ANALYSIS

Application Number: 16062554
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["340", "933000"]

Abstract:
A vision traffic marker network system comprises a plurality of vision traffic markers or traffic nodes configured to capture information such as an event, an environment, a profile, or a condition of an object such as vehicle, human, combination thereof, or the like, for example. The environment information may be time of day, day of week, weather, traffic condition, and the like. The nodes may be one of a traffic node, an ambient node, a repeater, a gateway, or a combination thereof. These nodes are arranged in network neighborhoods and configured to communicate with at least one of the communication networks with at least one of the vision traffic markers or nodes, a control system, the automotive, a server, a global navigation system, other non-vision devices, traffic lights, street lights, electronic devices, or combination thereof, via one more links, either wirelessly or wired communication. The vision traffic marker network system analysis, process, distribute, and report the information to any vision traffic marker network system, client machines, and a server over a network.

Claim (Index 6):
A device comprising:\n a non-transitory computer-readable medium for carrying or having computer-executable instructions to obtain information of at least one of an event, a condition, a vehicle profile, a human profile, the instructions causing a machine to: direct information to a vision traffic marker system operated in a mesh network, wherein the information further including existing and predictive information of at least one of next event or next condition.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 94.0
- Lexical Diversity: 2.47619
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14996570', '15289384', '13789143', '14988331', '14922640']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6372198438319386
- 35 USC 102 Novelty (BERT): 0.4878751951709151
- Combined Prediction Score: 0.6222853789658362
- Mean Citation Score: 135.920946
- Max Citation Score: 142.97146999999995
- Similarity Product: 91.77185309821662

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