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

Detect fire in images using neural nets

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

An experimental repository to build ML models and perform efficient wildfire smoke detection.

Fire and smoke detection using spatial and temporal patterns.

Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.

Research Internship project under Assistant Prof. Manish Bhatt of IIT, Guwahati

A superset of various wildfire smoke datasets.

Pipeline to train a multi-label smoke detection network. Code submission for the ProjectX 2020 machine learning competition.

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

Project Recognizing Industrial Smoke Emissions

In this project, we will develop a system that monitors the temperature, humidity, smoke leakage, current voltage, and vibration of the server room via an Arduino IoT dashboard. In addition to attempting to detect and alert for Power Failure, Fire, Smoke, etc., this system will also integrate automation at the edge level for temperature control.

A comparative analysis of traditional classification models (specifically Logistic Regression, K-Nearest Neighbours, Support Vector Classifier, Naïve-Bayes, eXtreme Gradient Boosting and Random Forest) for Smoke Detection dataset.

IoT-based system for real-time monitoring of temperature, air humidity, and pressure with the support of smoke detection

FANS (Fire Alarm Notification System) is a distributed fire detection and emergency notification system built for the SYSC3010 Computer Systems Development project course.

Modelling code for my Smoke Detection project.

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

smoke and fire detector 🔥🚨

Smoke Detection using Arduino UNO, MQ-2 sensor and Pico Buzzer.