Item talk:Q166768

{

 "OpenAlex": {
   "display_name": "Fire and Smoke Detection Technologies",
   "description": "This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, and unmanned aerial vehicle (UAV) based systems. The research covers a wide range of methods including convolutional neural networks, statistical color models, multi-feature fusion, and IoT-based intelligent modeling for fire prevention and safety.",
   "keywords": [
     "Computer Vision",
     "Fire Detection",
     "Smoke Detection",
     "Convolutional Neural Networks",
     "Video Surveillance",
     "Forest Fire Monitoring",
     "Unmanned Aerial Vehicles",
     "Image Processing",
     "Real-Time Detection",
     "IoT-Based Systems"
   ],
   "ids": {
     "openalex": "https://openalex.org/T12597",
     "wikipedia": "https://en.wikipedia.org/wiki/Fire_detection"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/2213",
     "display_name": "Safety, Risk, Reliability and Quality"
   },
   "field": {
     "id": "https://openalex.org/fields/22",
     "display_name": "Engineering"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T05:16:18.252386",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T12597",
   "id": "https://openalex.org/T12597"
 }

}