PATENT CLAIM ANALYSIS

Application Number: 15883411
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["340", "578000"]

Abstract:
The disclosed fire detection system improves fire detection, e.g., aboard an aircraft, by optically monitoring an interior compartment to detect, at a first time, visible radiation in a visible light spectrum and thermal radiation in an infrared light spectrum. The fire detection system combines the detected radiation to generate a multi-spectrum image, spanning visible and infrared wavelengths, of the interior compartment at the first time to facilitate the detection of a fire event and/or threat within the interior compartment. As a result, the fire detection system provides situational awareness of a fire event and/or threat within the interior compartment.

Claim (Index 13):
The fire detection system of  claim 10  wherein the first image sensor is further configured to detect additional thermal radiation within an additional infrared light spectrum at the first time in combination with the visible radiation within the visible light spectrum detected at the first time, wherein the processor circuitry generates the multi-spectrum image by combining the detected thermal radiation output by the second image sensor with the detected visible radiation in combination with the additional thermal radiation output by the first image sensor.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 86.0
- Lexical Diversity: 2.2
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15641975', '12985940', '13922532', '12213496', '16300600']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6984821113162819
- 35 USC 102 Novelty (BERT): 0.4966740844195301
- Combined Prediction Score: 0.6783013086266068
- Mean Citation Score: 196.104194
- Max Citation Score: 221.92542000000003
- Similarity Product: 167.26278557589768

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