Fire Detection using YOLOv8

Fire-Detection-using-YOLOv8

This repository illustrates the steps for training YOLOv3 and YOLOv3-tiny to detect fire in images and videos. First, a fire dataset of labeled images is collected from the internet. The images with their annotations have been prepared and converted into YOLO format and put into one folder to gather all the data. Therefore, the data folder conta…

FireDetection is an artificial intelligence project for real-time fire detection and custom images.

Dynamic and Chromatic Analysis for Fire Detection and Alarm Raising Using Real-Time Video Analysis

Yolov5 fire detection with deep learning based rasperry pi 4b

In this project I created a Fire Detection System based on an Android App, a Spring Boot API and an Arduino System.

This project can be used to detect fire occurance in deep forest through computer vision and detects chainsaw sounds which are illegal felling in the deep forest using deep learning.

A fine tuned yolov111 model to detect fire

Codes Used on My Thesis Work - Fire and Smoke Detection using Fully Supervised Training Methods and Search by QuadTree ( FireFront Project )

Early fire detection is crucial for minimizing damage and saving lives. Traditional methods like smoke detectors and manual monitoring often suffer from delays and inaccuracies. Deep learning-based approaches offer real-time detection with higher precision, analyzing patterns from images and videos effectively.

It is the Fire detection project with Arduino of our Computer Vision work with Opencv. In this project, when fire detection was detected using Opencv intelligence libraries, the LED on the Arduino burned, the detection text was printed on the buzzer and LCD screen. I tried to explain the details of the project step by step below.

A project with front end built using flask, that detects if a fire is present in a vedio and also checks if it can be extinguished or not

Detecting wildfire-affected areas using satellite imagery with computer vision techniques , highlighting the efficiency of Faster RCNN model.

It is the Fire detection project with Arduino of our Computer Vision work with Opencv. In this project, when fire detection was detected using Opencv intelligence libraries, the LED on the Arduino burned, the detection text was printed on the buzzer and LCD screen. I tried to explain the details of the project step by step below.

IoT Project | By Kelompok 12

An image processing project that detects fire and smoke in given images by combining various techniques for detection.

Built with Python! Stay safe with SafeTempGuard - Your Temperature Safety Companion

Detecting fire through image processing using OpenCV

fire and weapon detection