Fire Detection is the process of identifying the presence of a fire or abnormal increase in temperature. This can be done through the use of various sensors and systems designed to alert individuals or authorities to the potential threat.

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Wavelength Modulation Spectroscopy Enhanced by Machine Learning for Early Fire Detection

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.