Thermal Energy Sensing Technique for Fire Detection and Warning System based on Image Processing
Download| Volume 3 Issue 2 2022 | |
|---|---|
| Author(s): |
Ali Akbar Siddique M. Tahir Qadri |
| Abstract | In recent times, rapid growth in technology leads to an overnight boost in electricity usage, thus increasing the probability of fire hazard or short circuit. To tackle such life threatening condition, there is an urgent need for system that is capable of resolving this kind of situation. In this regard we proposed a model based on image processing capable of detecting short circuits using image processing. Usage of an image processing in such application establishes a minimum human intervention and hence provides us a sensor less system. The accidental condition are detected using a color based fire detection algorithm performed using image processing. Our proposed work is adamant to provide an optimum solution for the life threatening condition which may cause huge loss of lives if not tackled properly. The proposed system is cost effective and reliable for low income areas where the probability of accident caused by electricity is more due to old and outdated wiring. |
| Keywords | Image Processing, Short Circuit and fire Analysis. |
| Year | 2022 |
| Volume | 3 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Recognized by | Higher Education Commission of Pakistan, HEC | Category | Journal Name | ILMA Journal of Technology & Software Management | Publisher Name | ILMA University | Jel Classification | -- | DOI | - | ISSN no (E, Electronic) | 2709-2240 | ISSN no (P, Print) | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://ijtsm.ilmauniversity.edu.pk/arc/Vol3/i2/5.pdf | Page |