forest-fire-detection

Bu video bir proje tanıtım videosudur. Projede python programlama dilinde makine öğrenmesi (machine learning) ve görüntü işleme (computer vision OpenCV) kullanılarak orman yangınlarında eş zamanlı olarak duman ve ateş tespiti yapılmıştır.

𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆

A real-time deep learning system powered by YOLOv8 for accurate fire and smoke detection across images, videos, and live webcam feeds. The system issues instant Telegram alerts when fire confidence surpasses a safe threshold. With a Flask-based interface and detailed model evaluation metrics, this solution enhances wildfire monitoring, early detect

Forest Fire Prediction System gives the most accurate predictions of when fire can take place. Project made for Software Engineering Lab 2023.

Fire Eye is a robust and fixed lookout system capable of real-time forest fire and smoke detection. We have use Flask Python web framework to develop the user interface of our application.

A convolutional neural network(CNN) that detects forest fires.

Xtinguish is an CNN Image Classfication model which helps in detecting and preventing Wildfires

The experiment project for predicting the burned area of the forest fires specifically in the northeast region of Portugal, based on the spatial, temporal and weather variables where the fire is spotted using deep learning.

A project made for the NASA Space Apps Challenge 2020

AI/ML pipeline for next-day forest fire probability mapping & multi-hour spread simulation using VIIRS satellite data, Random Forest, and Cellular Automata at 30m resolution over Uttarakhand, India.

Automated Wildfire Prediction

Forest Fire Detection using arduino and esp8266 wifi module

A NetSim-Matlab-based project that simulates the performance analysis of a Multi-UAV - Base Station network for communications in the application of forest fire monitoring and detection.

Forest Fire Detection Application Using Ultralytics YOLOv8.

A deep learning solution for detecting forest fires using sensor data and imagery. This repository includes a Jupyter Notebook that trains and evaluates models for early fire detection to improve disaster prevention.

Machine learning-based forest fire detection and hotspot prediction using satellite fire observation data and Random Forest classification.

This project aims to predict the occurrence of forest fires using machine learning. The project includes a Flask-based application that serves both backend (for model training and prediction) and frontend Created using Threejs (for user interaction).

DL and Image Processing Project for forest fire detection. It comapares variable methods.

IoT-based forest fire detection system using ESP32, GPS and Node.js

Forest Fire-Smoke Detection and Classification