• P.DEEPA
• B.SUSHMITHA
• S. SOWMIYA

When compared to traditional fire recognition frameworks based on sensors, vision-based fire detection frameworks have recently gained popularity. The need for video perception in private, modern, business areas, and wooded areas has expanded the application of a vision-based fire system. Recently, a number of fire-related accidents have occurred as a result of inadequate surveillance or the inability to cover those uncertain regions such as restricted areas in forests or factory buildings. To avoid such mishaps, we propose a method based on Convolution neural networks.

Fire detection, Image classification.CNN, Video analysis

"DESIGN AND IMPLEMENTATION OF A LIGHT WEIGHT CNN MODEL FOR FIRE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.43-45, April-2021, Available :http://www.jetir.org/papers/JETIRES06010.pdf

"DESIGN AND IMPLEMENTATION OF A LIGHT WEIGHT CNN MODEL FOR FIRE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp43-45, April-2021, Available at : http://www.jetir.org/papers/JETIRES06010.pdf