19–23 Jun 2023
Hofburg Palace & Online
Europe/Vienna timezone

Fire Detection in an On-Site Inspection Area

P2.2-596
21 Jun 2023, 11:00
1h
Wintergarten

Wintergarten

Board: 6
E-poster T2.2 Challenges of On-Site Inspection Lightning talks: P2.2, P3.2, P3.6

Speaker

Ms Ahlam Khekan (University of Information Technology and Communication. Iraq)

Description

Fires are still a large concern in several countries due to the social, environmental and economic damages they cause. Computer vision is focusing a lot of their attention on improving object detection as one of the fundamental challenges in the field. The aim of this research is to propose a system to predicate or to detect a fire accident in an on-site inspection area in real time using a monitoring system using a deep learning based approach.

Promotional text

i was inspector (members) of osi from 2016 -2020

E-mail [email protected]
Oral preference format in-person

Primary authors

Ms Ahlam Khekan (University of Information Technology and Communication. Iraq) Ms Omar Addeb (Inma)

Presentation materials