COMPUTER VISION BASED FIRE DETECTION SOFTWARE
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.
Smoke Detection Sample Image
The image on the left shows an image with smoke and the image on the right
shows detected smoke region.
Fire Detection Sample Image
The image on the left shows an image with fire and the image on the right shows
detected fire region.
Fire Detection Sample Video
Click on the picture to play the fire detection video.
Demo Software
vPlayer
Fire and Smoke Detector installer
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.
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
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,
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,
2. B. Ugur Toreyin, Yigithan
Dedeoglu, A. Enis Cetin, ``Wavelet Based Real-Time Smoke
Detection in Video’’, 13th European Signal Processing Conference
EUSIPCO 2005,
1. Yišithan Dedeošlu, B. Ušur
Töreyin, Ušur Güdükbay, A. Enis Ēetin, ``Real-time Fire and Flame
Detection in Video’’, IEEE 30th Int. Conf. on Acoustics, Speech and
Signal Processing, ICASSP’05,
Links
On-Line Compendium of
Computer Vision – Fire
Detection