Abstract
A machine learning based arrangement can be used to more accurately detect whether a smoke alarm should be sounded based on a determined rate of change in the measured amount of smoke. The machine learning model may be pre-trained based on training data then executed by a smoke detector to accurately distinguish between likely emergencies and nuisance conditions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shin, Dongeek; Korchak, Andrii; and Goldenson, Andy, "Machine-Learning Based Smoke Detection", Technical Disclosure Commons, (February 25, 2020)
https://www.tdcommons.org/dpubs_series/2965
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