{
"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"
}
}