A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept

Last updated: 2022-12-22
Author:
John Martinsson, Marcus Runefors, Håkan Frantzich, Dag Glebe, Margaret McNamee, Olof Mogren
Year:
2022
Type:
Article in journal
More information in DiVA:
http://urn.kb.se/resolve?urn=urn:nbn:se:ivl:diva-4108
Keywords:
Acoustic emissions, Artificial intelligence, Deep neural networks, Fire detection, Machine learning, Sound, Fire detectors, Fires, Learning systems, Acoustic measurements, Early detection system, Fire event, Major hazards, Monetary costs, Novel methods, Proof of concept

Subscribe to our newsletter

You need to allow cookies from the category ”Functional cookies” to be able to subscribe to our newsletter. Allow cookies