# Fire Detection and Safety Systems

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/fire-detection-and-safety-systems-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 136,634 |
| 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. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | https://openalex.org/T12597 |
| Works | 35,731 |

## Topic researchers

Showing 12 of 20.

- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Lídia Morawska](https://scholariq.org/researchers/lidia-morawska/)
- [Michelle L. Bell](https://scholariq.org/researchers/michelle-l-bell/)
- [Luc Van Gool](https://scholariq.org/researchers/luc-van-gool/)
- [Yuming Guo](https://scholariq.org/researchers/yuming-guo/)
- [Shanshan Li](https://scholariq.org/researchers/shanshan-li-3/)
- [Jesús F. San Miguel](https://scholariq.org/researchers/jesus-f-san-miguel/)
- [Ming–Hsuan Yang](https://scholariq.org/researchers/ming-hsuan-yang/)
- [Shuicheng Yan](https://scholariq.org/researchers/shuicheng-yan/)
- [David Zhang](https://scholariq.org/researchers/david-zhang/)
- [Yi Yang](https://scholariq.org/researchers/yi-yang/)
- [Bernt Schiele](https://scholariq.org/researchers/bernt-schiele/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.