# Fire Detection and Safety Systems

{
  "id": "T12597",
  "title": "Fire Detection and Safety Systems",
  "url": "/topics/T12597",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "981e85aa4fc90cdd",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "38351001023548989",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    22,
    2213,
    12597
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

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.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12597

No owner-reviewed local answer yet.