PATENT CLAIM ANALYSIS

Application Number: 16124093
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-09
Patent Classification: ["315", "151000"]

Abstract:
Techniques relating to a geographic lighting controller. A controller determines a target lighting pattern based on an instruction for a smart lighting effect. The controller retrieves from a database, based on the target geographic location, information identifying a first plurality of smart lights to activate as part of the smart lighting effect. The controller determines a plurality of network addresses for the first plurality of smart lights, based on the retrieved information, generates a lighting effect command relating to the first plurality of smart lights, and transmits the lighting effect command to create the smart lighting effect.

Claim (Index 18):
The geographic lighting controller system of  claim 17 , wherein generating, for each video of the plurality of videos, a table including X-Y coordinates corresponding to each smart light visible in the video further comprises:\n detecting a conclusion of a pre-defined preamble sequence in the video; selecting a next frame of the video; identifying X-Y coordinates corresponding to an active light in the frame; identifying corresponding to the active light in the frame; and storing the X-Y coordinates in the table.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.46512
- Patent Class: 315.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15920073', '14683821', '16051375', '15620686', '14994093']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7100716244156996
- 35 USC 102 Novelty (BERT): 0.5113505001478815
- Combined Prediction Score: 0.6901995119889178
- Mean Citation Score: 160.4818008
- Max Citation Score: 312.07556
- Similarity Product: 307.54314728168725

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