A. Tanaka (JP) NEC Corpoartion
NEC CorpoartionAuthor Of 1 Presentation
(PSSI) Photodetectors, Sensors, Systems and Imaging
MC3.3 - WAVELENGTH MODULATION SPECTROSCOPY ENHANCED BY MACHINE LEARNING FOR EARLY FIRE DETECTION
Presentation Type
Contributed Submission
Authors
Date
09/30/2019
Time
01:30 PM - 03:00 PM
Room
El Mirador C East
Duration
15 Minutes
Lecture Time
02:15 PM - 02:30 PM
Abstract
Abstract
We proposed and demonstrated a new machine learning algorithm for wavelength modulation spectroscopy to enhance the accuracy of fire detection. The result shows more than 8% of accuracy improvement by analyzing CO/CO2 2f signals.