Abstract
The concept of smoke detection was put forth by the development of sensors. These sensors relayed the parameters they sensed to a processor which made decisions. The presence of smoke is often an indicator of fire. Hence, given the ability to detect smoke in the early stages of fire, major fire accidents can be prevented. All though this method of smoke detection using sensors was a great success it was not very usefully in extreme conditions (weather, range, location) and sometimes even produced false alarms. Image processing paved way for more accurate detection of smoke since it uses digital data rather than analog inputs. With image processing both, fire and smoke could be detected easily. This method of detection involves various processes like extracting features, comparing with references, classification etc. This survey paper briefly explains the various techniques proposed/used to detect smoke.
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Selvan, S., Durand, D.A., Gowtham, V. (2020). Survey of the Various Techniques Used for Smoke Detection Using Image Processing. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_76
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DOI: https://doi.org/10.1007/978-3-030-32150-5_76
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