Computer Vision and Artificial Intelligence in Fire and Flame Detection
A special issue of Fire (ISSN 2571-6255).
Deadline for manuscript submissions: 20 July 2025 | Viewed by 127
Special Issue Editors
Interests: urban fire safety; gas safety monitoring; predictive analytics; early warning systems; emergency management technologies
Special Issue Information
Dear Colleagues,
The evolution of fire detection methodologies has reached a pivotal juncture with the integration of advanced computational technologies. Traditional systems, while essential, face challenges such as delayed response times and a high incidence of false alarms.
The recent advancements in computer vision and artificial intelligence (AI) have profoundly transformed fire detection paradigms. Innovative methods such as computer vision-based detection, laser-based systems, and AI-integrated gas sensors have markedly enhanced the performance and reliability of fire detection.
This Special Issue is dedicated to showcasing research that leverages sophisticated algorithms for the real-time analysis of visual and thermal data, distinguishing genuine fire signatures from non-threatening sources with exceptional precision.
The topics of interest for this Special Issue encompass, but are not limited to, the synergy between multimodal sensing technologies and AI, the development of adaptive algorithms that can interpret sensor data across diverse environmental conditions, and theoretical frameworks that underpin the mechanics of AI-driven detection systems. We also invite submissions that evaluate the scalability and effectiveness of these technologies in practical scenarios, providing insights into their integration and impact on fire safety protocols.
Through this Special Issue, our objective is to explore cutting-edge developments and also push the boundaries of what is technically feasible in fire safety management. Contributions may include original research, in-depth case studies, or comprehensive reviews that collectively aspire to redefine the technological landscape of fire detection and fire safety.
Prof. Dr. Hongyong Yuan
Dr. Xiaole Zhang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- fire detection
- flame recognition
- computer vision
- artificial intelligence for fire safety
- thermal imaging
- laser detection technology
- gas sensing
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