International Journal of Engineering Technology and Management Sciences

2023, Volume 7 Issue 4

Industrial Fire Detector Using Colour Detection and Tracking

AUTHOR(S)

Suryansh Devasthali, Smarak Mishra, Suryansh Saha, Sweekruthi S., Dr. Pavithra G., Dr. T.C.Manjunath

DOI: https://doi.org/10.46647/ijetms.2023.v07i04.001

ABSTRACT
Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms; for example, a person smoking in a room may trigger a typical fire alarm system. In order to manage false alarms of conventional fire detection systems, a computer vision-based fire detection algorithm is proposed in this paper. The proposed fire detection algorithm consists of two main parts: fire color modeling and motion detection. The algorithm can be used in parallel with conventional fire detection systems to reduce false alarms. It can also be deployed as a stand-alone system to detect fire by using video frames acquired through a video acquisition system.

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    How to Cite This Article:
    Suryansh Devasthali, Smarak Mishra, Suryansh Saha, Sweekruthi S., Dr. Pavithra G., Dr. T.C.Manjunath .Industrial Fire Detector Using Colour Detection and Tracking . ijetms;7(3):1-5. DOI: 10.46647/ijetms.2023.v07i04.001

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