10.35940/ijitee.J7606.0991120
https://zenodo.org/records/5853957
oai:zenodo.org:5853957
R. Sandhiya
R. Sandhiya
Department of Biomedical Engineering, AVIT, Chennai, India
Santhoshini Arulvallal
Santhoshini Arulvallal
Department of Biomedical Engineering, AVIT, Chennai, India.
Lakshmi Shree. B
Lakshmi Shree. B
Department of Biomedical Engineering, AVIT, Chennai, India.
D. Dhina
D. Dhina
Department of Biomedical Engineering, AVIT, Chennai, India.
Fire Recognition based on Image Processing using Raspberry pi
Zenodo
2020
GMM, GPIO, GPS, Open CV, RPi, SoC
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Publisher
2020-09-30
eng
2278-3075
Creative Commons Attribution 4.0 International
Fire is a procedure of ignition that brings calamity. It becomes unsafe when fire loses control and spreads out. The fire detection becomes more and more important with the rapid development of image and video processing, the fire detection technology based on video processing is becoming the focal point of some research due to its advantages of high intuitive, speed and anti-jamming capability. This method uses colour and motion information extracted from video sequences to detect fire. It can work both indoor and outdoor environments. Moreover, it detects fire at the beginning of the burning process. The method performs the region growing segmentation to identify colour pixels in the scene and then identify moving pixels based on the ratio of height and width of suspected fire region. This method can get low false alarm rate by eliminating the fire-like colours because it just needs a fire pixel as the seed pixel. .