Video Based Smoke Detector

VIDEO-BASED SMOKE DETECTOR

Oliver Villanos

COLLEGE OF COMPUTER STUDIES

Highway Minaog, Dicayas

Dipolog City Zamboanga del Norte

09482942101

Villanos_oliver@yahoo.com

Rhea Jona Rebucas

COLLEGE OF COMPUTER STUDIES

San Jose, South Proper, Galas

Dipolog City Zamboanga del Norte

09123198599/09167956270

Rhea.rebucas@gmail.com

Elgenmar Sasuman

COLLEGE OF COMPUTER STUDIES

Napuyan, Aseniero

Dapitan City Zamboanga del Norte

09482597365

Selgenmar@yahoo.com

ABSTRACT

What is video-based smoke detector? It is a software classified under computer vision specifically designed to detect smoke from any other sources which might cause fire. Video-based smoke fire detection (VFD) consists of a digital video camera coupled with a computer running video analytic software which can monitor large volumes to look for visible indications of a fire. High detection rate is projected in this study implementing low cost video devices. Reduction of false detection is perceived and further enhanced thus paving way to a better system.

Video based fire detection methods present a lot of advantages, like early fire detections, fast response and ability to provide live video that conveys forensic evidence of fire investigation are gathered, monitored and managed for future cases resulting to arsons.

For how many years, there are lots of smoke and fire detection alarms made. The first fire alarms made were those censored and circuit alarms, but some of these alarms were having trouble with false detection. Nowadays, computer processing power is cheap enough and machine vision technology is sophisticated enough for a new generation of automated fire detection systems. This project explores few methods of achieving high quality real time video based fire detection. It has a stationary source camera with a better image processing algorithm with classified short and targeted video sequences in detecting fire. Such algorithms perceived achieves 90% real time...