real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

D-Fire: an image data set for fire and smoke detection.

Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.

Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)

Fire and smoke detection using spatial and temporal patterns.

This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.

Fire-Detection-using-YOLOv8

Deep Learning model implementation for Fire detection both classification and segmentation from the FLAME dataset.

This is the YoloV5 fire detection application.

Deep Learning-Based Fire Vehicle Detection and Real-Time Warning System 基於深度學習的火災車輛偵測及即時預警系統

Robot that explores a building while mapping and detecting fire hazards and survivors

In this project, we developed a Raspberry Pi-based robotic car equipped with a Pi Camera for fire detection as well as for live video feed. The car can be controlled remotely by the user through WiFi. Additionally, it gathers temperature and humidity data, sending it to a Google spreadsheet hosted in Google Drive for storage and analysis.

This is an implementation of the floodfill algorithm for fire event detection as described in Archibald & Roy 2009. For docs see:

API endpoint which takes images as input, and tries to detect and classify the presence of smoke and fire

Fire detection with AI and instant multi-functional response system.

Fire Detection System Using Gas and Temperature Sensors

Fire detection using satellite imagery, project for Digital image processing and analysis course @ University of Zagreb, Faculty of Electrical Engineering and Computing

This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.

This repository contains Python code for generating a fire detection model and utilizing it to detect fire from user-uploaded images. The model architecture consists of convolutional and pooling layers, followed by fully connected layers. The repository includes scripts for training the model and predicting fire from uploaded images.