A MOBILE FIRE AND SMOKE DETECTING TELEMETRY SYSTEM BASED ON UAV MODEL
Volume 12 Issue 1 2018
DownloadAuthor(s): | Ali Akbar Siddiqui, M. Umar Khan, M. Tahir Qadri |
---|---|
Abstract | In recent times, due to a rapid growth in infrastructure, the probability of fire accident has increased exponentially. Although fire alert systems are installed indoors in many places but there is a loop hole when it comes to an accident at the place that is almost impossible to monitor at all times for accidents such as forest fires and road accident on the highway. For such task we proposed a system based on Unmanned Aerial Vehicle (UAV) model to monitor forest fire and alert the authorities as soon as possible so it may not spread and cause some serious damage. UAV is equipped with an IP camera capable of transmitting the live video feed from remote location; we extract a frame and apply the color based algorithm for detecting both the fire and smoke. |
Keywords | Color based detection; image processing, Unmanned Arial Vehicle (UAV). |
Year | 2018 |
Volume | 12 |
Issue | 1 |
Type | Research paper, manuscript, article |
Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/12.1/2.pdf | Page | 6-10 |