PATENT CLAIM ANALYSIS

Application Number: 16063111
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["345", "207000"]

Abstract:
A method of estimating light intensity at a target location remote from a light sensor by providing a light sensor at a measuring location and temporarily providing a light sensor at a remote target location; exposing the measuring and target locations to a rand light intensities; constructing a calibration relationship between measured light intensity at the measuring and target location; and subsequently measuring light intensity at the measuring location; and using the calibration relationship to estimate light intensity at the target location. Lighting systems employing such a method are also provided.

Claim (Index 1):
A method of estimating light intensity at a target location remote from a light sensor comprising:\n providing a first light sensor at a measuring location; temporarily providing a second light sensor at a target location, remote from said measuring location; exposing said measuring and target locations to a plurality of light intensities; constructing a calibration relationship between first measured light intensity at said measuring location, and second measured light intensity at said target location; and subsequently measuring light intensity at said measuring location; and (f) using said calibration relationship to estimate light intensity at said target location.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 2.36585
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12727923', '15556858', '14250084', '14573553', '14942471']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6221550980120454
- 35 USC 102 Novelty (BERT): 0.4627509177578813
- Combined Prediction Score: 0.606214679986629
- Mean Citation Score: 146.31823
- Max Citation Score: 149.93248
- Similarity Product: 114.61065842746734

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test