Гибридная система обнаружения огня и дыма на EfficientNet + YOLOv5. Оптимизирована для CPU, работает в реальном времени.

ESP32-based Fire & Smoke Detection System using Flame Sensor, MQ-2, DHT11, Blynk IoT, and a Python serial listener for automatic image capture on fire detection.

Smart fire and smoke detection using YOLO on a Raspberry Pi with IoT integration. The system identifies fire and smoke from images, achieving 90.2% accuracy for fires and 85.7% for smoke. Demonstrates the power of machine learning and automation in real-time safety monitoring.

fire detection, smoke detection, object tracking, classification, object detection, fire protection,

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

Real-time fire and smoke detection using YOLOv11 (Ultralytics) with webcam inference and training notebook.

Low-cost wildfire monitoring using IoT sensors, edge computer vision, and deep reinforcement learning.

🔥 Real-time Fire & Smoke Detection using Computer Vision and AI | Advanced safety monitoring system with 96% accuracy | Modern UI | Open-source educational project

AI-powered no-smoking detection system using Raspberry Pi, OpenCV, OLED display, and smoke sensor with real-time alerts and web dashboard.

This repository contains the code and documentation for a Smart Room Automation System built with Arduino. Features include secure password-protected door access, occupancy-based lighting, and prioritized smoke detection with an exhaust fan. Simulated in Tinker Cad.

The MVP provides automated fire risk assessment by extracting wildfire indicators—such as smoke, flame patterns, and thermal anomalies—from imagery, and presenting them in structured natural language analysis.

Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.

Fire and smoke detection using spatial and temporal patterns.

Indoor Fire and Smoke Detection using Soft-Voting based Deep Ensemble Model

Explainable AI and YOLOv8-based Framework for Indoor Fire and Smoke Detection

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

Dataset for Indoor Fire Detection

Nature inspired firefighter assistant by Unmanned Aerial Vehicle (UAV) data

Hello everyone , the name of this mini project is "SMOKE DETECTION USING ARDUINO" which comes under IOT(Internet of Things).

A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.