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.


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.