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Forest fire is an important issue that damages
thousands of hectares of forest and all creatures inside it. In this
study we have developed an early fire detection system running on
low-cost, lightweight Raspberry Pi module integrated with an
infrared camera. The infrared camera acquires the live video of
the fields, then if a fire occurs, our software detects the fire by
taking both motion and color characteristics of a flames into
account. In our study, there exist two phases: first, motion
detection phase is applied to the view, if a motion is detected in the
view, then, color detection phase is applied to determine the
flames. Obtained results indicates that our fire detection system
can detect a forest fire clearly and smoothly without requiring any
external equipment and manual intervention.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Yasin Ortakcı
Emrullah Yildirim
Oğuzhan Dereci