Published on: April 2026
FOREST FIRE DETECTION SYSTEM USING CNN
D.Kirthana G.Nithisha P.Shiva Prasad K.Dasarath
K.Sukeerthi
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Abstract
The proposed system detects any signs of forest fires using video as input in real-time using deep learning. The process begins by converting video data either from live video feed or from stored data into frames. Preprocessing involves resizing and normalizing of these frames before feature extraction through CNN. The extracted features include colour, texture, and intensity of the flame which are then classified as fire or no-fire condition.
In case of fire, the system will automatically issue warnings using audio alerts.
How to Cite this Paper
D.Kirthana, , G.Nithisha, , Prasad, P. & K.Dasarath, (2026). Forest Fire Detection System using CNN. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.195
D.Kirthana, , et al.. "Forest Fire Detection System using CNN." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.195.
D.Kirthana, , G.Nithisha,P.Shiva Prasad, and K.Dasarath. "Forest Fire Detection System using CNN." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.195.
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- •Published on: Apr 10 2026
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