Fire Detection System using Image Processing |
Author(s): |
| Nameera Shaikh , B.k birla college of Arts, Commerce and science(autonomous); Komal Pansare, B.k birla college of Arts, commerce and science (autonomous) |
Keywords: |
| Smoke Detection, Fire Detection, Spatial Location, Video Sequencing, Image Processing, Statistical Analysis, Color Space Model |
Abstract |
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The following research focuses on the system which is capable to detect the fire in real time. The problem is mostly focused on false alarm which waste the time of fire brigade. Some causes of false fire are clue to some mechanical and electrical faults, vibration some ambient condition such as heat, smoke from cooking, fumes from engine. This proposed novel models for fire and smoke detection using image processing is provided. The models use different color models for both fire and smoke. The color model are extracted using a statistical analysis of samples extracted from different type of video sequences and images. The extracted model can be used in complete fire/smoke detection system when combines color information with motion analysis. |
Other Details |
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Paper ID: IJSRDV7I80201 Published in: Volume : 7, Issue : 8 Publication Date: 01/11/2019 Page(s): 204-205 |
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