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 1):
A method of generating a multi-spectrum image of an interior compartment for fire detection within the interior compartment, the method comprising:\n optically monitoring the interior compartment using image sensor circuitry comprising separate first and second image sensors, said first image sensor configured to detect visible radiation within a visible light spectrum at a first time and said second image sensor configured to detect thermal radiation within an infrared light spectrum at the first time; generating the multi-spectrum image of the interior compartment at the first time by combining the detected visible radiation with the detected thermal radiation; and outputting the multi-spectrum image to at least one operator terminal.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 86.0
- Lexical Diversity: 2.2
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15641975', '12985940', '13922532', '12213496', '16300600']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6727753176231422
- 35 USC 102 Novelty (BERT): 0.4948267699667197
- Combined Prediction Score: 0.6549804628575
- Mean Citation Score: 196.104194
- Max Citation Score: 221.92542000000003
- Similarity Product: 166.40485784281256

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