Abstract / Excerpt:

Many buildings already have emergency systems installed, but these systems only provide a warning to unsuspecting victims. In case of an emergency, those people who are not familiar with the building would get lost and are likely more prone to danger. Some instances, the smoke would increase and would cause limited vision for the people who are evacuating the building. With these cases, the indoor emergency evacuation system would guide people to the nearest exit for evacuation. The aim of this study is to have an indoor fire emergency evacuation system that would alert and guide the victims to the nearest evacuation exit in case of a fire emergency. The Indoor Fire Emergency Evacuation System has two subsystems: the real time video-­based detection system and the speaker system. The real time video­-based detection system (RTVDS) would use CCTV cameras for the video input that would then be processed through computer vision algorithms such as edge detection, color detection, motion detection, and area dispersion for fire and smoke detection. The RTVDS will be integrated with the speaker system, once the RTVDS detects fire and smoke, the speaker system would then be the guide of the victims to the nearest emergency evacuation system.

Info

Source Institution	Ateneo de Davao University
Unit	Computer Studies
Authors	Renee Ann F. Grino, Jairah-Mae H. Viduya
Page Count	28
Place of Publication	Davao City
Original Publication Date	March 1, 2015
Tags	Area Dispersion, Background Subtraction, Color Detection, Computer Vision, Edge detection, Emergency, Emergency Evacuation, Fire Detection, Motion Detection, Motion Segmentation, Optical Flow, Smoke Detection, Video­Based Detection, evacuation, fire emergency, indoor emergency system

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