Smoke detection python. With recent advances in computer vision and deep learning, it is possible to build accurate computer-vision dataset yolo fire-detection smoke-detection Updated on Dec 30, 2025 Python. This project develops using Python Programming Language and Tkinter is used for graphical user interface. The model uses the Ultralytics YOLO framework to perform object detection with high accuracy and efficiency. The system provides instant alerts via Telegram/WhatsApp and can operate in diverse environments. machine-learning computer-vision model-zoo artificial-intelligence face-detection object-detection jetson nvidia-gpu video-analytics fire-detection edge-deployment smoke-detection ppe-detection worker-safety generative-ai yolo7 grounding-dino industrial-safety zone-mana proximity-dete Updated on Jul 14, 2025 Python This repository contains a YOLOv10 model trained for real-time fire and smoke detection. The detection and tracking performance can be improved by fine-tuning the YOLOv8 model on a custom dataset. Traditionally, these devices have relied on the use of sensors and cameras to Flare Guard is a cutting-edge real-time fire and smoke detection system using YOLOv11 for rapid identification in video streams. This repository contains a YOLOv10 model trained for real-time fire and smoke detection. Traditionally, these devices have relied on the use of sensors and cameras to Nov 18, 2019 · In this tutorial, you will learn how to detect fire and smoke using Computer Vision, OpenCV, and the Keras Deep Learning library. The dataset summary is detailed in the table below. Detecting Fire, Smoke using Computer Vision, Open CV and PyTorch Early fire/smoke detection plays a very important role in protecting many lives also property loss can be reduced and downtime for the operation minimized through early detection. Therefore in this project I have developed an Computer Vision & Deep Learning pipeline for fire and smoke detection. Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources Aug 7, 2023 · Fire and smoke detection systems play an important role in preventing disasters and minimizing property damage. Traditionally, these devices have relied on the use of sensors and cameras to D-Fire is an image dataset of fire and smoke occurrences designed for machine learning and object detection algorithms with more than 21,000 images. Built a smart Smoke Detector using Python! 🚨 This project identifies potential fire hazards through real-time smoke detection algorithms. We have use Flask Python web framework to develop the user interface of our application. Contribute to XoomitLXH/Smoke-Human-Detection development by 💡 Excited to share my latest project — Real-Time Object Detection with YOLOv8 🎯 🚀 Built using Ultralytics YOLOv8, OpenCV, and Python, this project performs real-time object detection Aug 12, 2023 · Fire and smoke detection systems play an important role in preventing disasters and minimizing property damage. Aug 7, 2023 · Fire and smoke detection systems play an important role in preventing disasters and minimizing property damage. Fire and Smoke Detection System using Machine Learning, This ML model detect the fire and smoke in any image, video or real time through laptop webcam. Stay safe with smart tech! #Python #MachineLearning # 4 days ago · 第十六届服务外包创新创业大赛国二作品,仅供参考可自取。别忘记点击star. The project can detect fire and smoke in real-time video with high accuracy. About Fire Eye is a robust and fixed lookout system capable of real-time forest fire and smoke detection. Feb 3, 2023 · Fire and smoke detection is a critical task for ensuring public safety and preventing property damage.
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