Wavelength Modulation Spectroscopy Enhanced by Machine Learning for Early Fire Detection

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Publication Date: 9/30/2019

Event: IEEE IPC 2019

Reference: pp. 1-2, 2019

Authors: Yuma Matsuda, NEC Corporation; Ming-Fang Huang, NEC Laboratories America, Inc.; Yue Tian, NEC Laboratories America, Inc.; Akihiro Tanaka , NEC Corporation

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/CO 2 2f signals.

Publication Link: https://ieeexplore.ieee.org/document/8908513