• Mubarak S
• Meghana SN
• Asha K
• Ms. VENNILA D A
• Ms. RAMYA K

The forest fire is one of the severe problem all over the world. Forest and its surroundings are getting destroyed due to fire. Fast detection and immediate response for forest fire in both daytime and nighttime is necessary to reduce the losses. At present, public hotlines, fire lookouts in towers, ground and aerial surveillance is used as a means for early detection of forest fires. However, accurate human observation is limited by time, location and other factors. To overcome these challenges, our proposed model is planned to implement in the forest area with image processing technology and UAV. In this project, we have proposed a fire detection algorithm based on image processing techniques which can detect the object with the surveillance devices like camera. A colour based segmentation technique was applied based on the results from the first technique and the second technique to identify the region of interest (ROI) of the fire then the environmental Sceneries are captured through the camera and are processed in the Raspberry-pi controller and with the help of UAV fire will be suppressed. The power supply to the controller board is proposed to drive by lithium-polymer battery and the battery is allowed to charge via solar energy.

Colour detection, Raspberry-pi controller, Lithium polymer battery, solar cells, drone with camera

"Smart Aerial Patrol for Forest Fire Detection and Prevention", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.607-610, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06126.pdf

"Smart Aerial Patrol for Forest Fire Detection and Prevention", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp607-610, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06126.pdf