Conventional point smoke and fire detectors typically detect the presence of certain particles generated by smoke and fire by ionisation or photometry. Conventional sensors only aim to sense particles. An important weakness of point detectors is that they are distance limited and fail in open or large spaces. The strength of using video in fire detection is the ability to serve large and open spaces.

Below are some example screen-shots and videos of our fire, flame and smoke detection software.

Fire Detection Sample Images 


Smoke Detection Sample Image


Sample Videos

Fire & Smoke Detection Samples


Wildfire Detection Sample



Demo Software

vPlayer Fire and Smoke Detector installer

Instructions for installation:
-Register for a user account at
-After installation run the "Fire&Smoke Detector License" application and generate a lock code.
-E-mail the lock code to Prof. A. Enis Cetin to obtain an unlock code.

Sample Video Clips

Full version of the Software

- The fire and smoke detection system works in real-time by analyzing the video data captured by an ordinary surveillance camera and a frame grabber.
- The software can be used in CCTV systems.
- Computational complexity of the software is low, streams from up to 16 cameras can be analyzed at the same time.
- The software can view, analyze, record and stream H.264 video from analog cameras using Hik-Vision compression cards.
- Supports many models of Axis, Panasonic, JVC, Flexwatch and Sony network cameras.
- Here is the user-interface of our fire-smoke detection software.

The software is developed by Prof. A. Enis Cetin who was an Associate Editor of IEEE Transactions on Image Processing between 1999 and 2003, and now he is an Associate Editor of Journal of Applied Signal Processing.
Please contact
him, if you are interested in this software.



Related Publications
13. Hakan Tuna, Ibrahim Onaran, and A. Enis Cetin "Image Description Using a Multiplier-Less Operator", IEEE SIGNAL PROCESSING LETTERS, VOL. 16, NO. 9, SEPTEMBER 2009 .

12. B.U.Toreyin, A.E.Cetin, "
Bilgisayarla Goru ile Orman Yangini Tespit Yontemi", IEEE 16. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU-2008, Didim, 2008.

11. K. Tasdemir, O. Gunay, B.U. Toreyin and A.E. Cetin, "
Videoda Gece Yangini Tespiti," in IEEE 17th Signal Processing and Communications Applications Conference (SIU-2009), 2009.

10. O. Gunay, K. Tasdemir, B.U. Toreyin  and A.E. Cetin, "
Video based wild fire detection at night." Fire Safety Journal, 2009.

9. B.U. Toreyin and A.E. Cetin, "
Wildfire detection using LMS based active learning", in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009.

8. B.U.Toreyin, A.E.Cetin, "Real-time Fire and Smoke Detection in Video", 2008 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP'08 -Show and Tell-, Las Vegas, NV, USA.

7. B. Ugur Toreyin and A. Enis Cetin, "Online Detection of Fire in Video", 2007 IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition (CVPR 2007), Online Learning for Classification Workshop, MN, USA, June 2007.

6. B. Ugur Toreyin, R. Gokberk Cinbis, Yigithan Dedeoglu, A. Enis Cetin, "Fire Detection in Infrared Video Using Wavelet Analysis", SPIE Optical Engineering,  vol. 46(6), 2007.

5. B. Ugur Toreyin, Yigithan Dedeoglu, A. Enis Cetin, "Contour Based Smoke Detection in Video Using Wavelets", 14th European Signal Processing Conference EUSIPCO 2006, Florance, Italy.

4. B. Ugur Toreyin, Yigithan Dedeoglu, Ugur Gudukbay, A. Enis Cetin, "Computer Vision Based System for Real-time Fire and Flame Detection", Pattern Recognition Letters, 27 (2006) 49-58.

3. B. Ugur Toreyin, Yigithan Dedeoglu, A. Enis Cetin, "Flame detection in video using hidden Markov models", IEEE Int. Conf. On Image Proc., ICIP 2005, Genoa, Italy.

2. B. Ugur Toreyin, Yigithan Dedeoglu, A. Enis Cetin, "Wavelet Based Real-Time Smoke Detection in Video", 13th European Signal Processing Conference EUSIPCO 2005, Antalya, Turkey.

1. Yiğithan Dedeoğlu, B. Uğur Töreyin, Uğur Güdükbay, A. Enis Çetin, "Real-time Fire and Flame Detection in Video", IEEE 30th Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP'05, Philadelphia, USA, 2005.




On-Line Compendium of Computer Vision – Fire Detection