• Mr Manoj Patel

Deep learning has recently been successfully used in a variety of fields, including object detection and classification.in the processing of natural language, voice, and pictures. To enhance performance, researchers have carried out numerous studies on deep learning-based fire detection. The deep learning method differs from the traditional computer vision-based fire detection method in a number of ways. Such systems are widely applicable, and they can contribute new ideas to the field of environmental monitoring. The Raspberry Pi Model 3, analogue and digital sensors, and algorithms for signal processing form the basis of an intelligent system for monitoring the forest environment. Sensors monitor variables like temperature, gas concentrations, soil humidity, etc., while background noise is analyzed.[2] Forest fire automation uses functional circuit and sensor module building blocks that are put together as a whole to monitor three completely connected layers with a 1000- way softmaxn.

Fire detection, image classification, OpenCV, deep learning, and Convolutional Neural Network.

"AI Founded Woodland Spirit Finding and Observant System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.484-488, December-2018, Available :http://www.jetir.org/papers/JETIR1812E88.pdf

"AI Founded Woodland Spirit Finding and Observant System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp484-488, December-2018, Available at : http://www.jetir.org/papers/JETIR1812E88.pdf