FIRE IDENTIFICATION AND USER NOTIFICATION USING CLOUD COMPUTING AND INTERNET OF THINGS

Abstract

This paper deals with Fire detection using Image processing concepts and user notification based on Cloud
Computing. It is a novel method towards fire and flame detection. It uses Image data captured by an ordinary camera
monitoring an open scene, which combined with fire flicker and color clues to reach a final decision. HSI and RGB color
models are considered for image processing. Based on these flame features, regions with fire-like colors are roughly
separated from an image. Besides segmenting fire flame regions, background objects with similar fire colors or caused by
color shift resulted from the reflection of fire flames are also separated from the image using the color masking technique.
It includes an advanced end user notification system about the fire detected. This warns the concerned person and
notifies him about the fire intensity, its area acquisition amongst the total area under surveillance and also the time. There is
also an added feature to provide the address information about the fire location to the concerned person for easy and quick
steps to be undertaken for cases of wild-fires in forests. This will help the concerned persons to take immediate actions. The
SAP HANA like cloud platform will be used for the notification system. This will help faster end user notification and will
consider latest technologies for its development. Hybrid Applications will also be developed on which the end user will be
notified over his mobile handheld devices.