@inproceedings{2a5191b1d9e449f890fc8c529bbd0330,
title = "A Visual Real-time Fire Detection using Single Shot MultiBox Detector for UAV-based Fire Surveillance",
abstract = "Early fire detection and alarm are significantly important to reduce the losses caused by fire. Conventional methods in fire detection using smoke and heat detectors have disadvantages in accuracy, latency as well as the detection area. In this paper, we propose and implement a real-time fire detection solution for large area surveillance using the unmanned aerial vehicle with an integrated visual detection and alarm system. The system includes a low-cost camera, a light weight companion computer, a flight controller as well as localization and telemetry modules. To achieve real-time detection, Single Shot MultiBox Detector (SSD) algorithm is implemented as the heart of the system. We used MobileNets base model, which more efficient for mobile and embedded vision applications, instead of conventional VGG-16/ResNet model to achieve the mean average precision of 92.7% with the detection speed of 26 FPS.",
keywords = "CNN, fire detection, real-time object detection, SSD, UAV",
author = "Nguyen, {A. Q.} and Nguyen, {H. T.} and Tran, {V. C.} and Pham, {Huy X.} and J. Pestana",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 8th IEEE International Conference on Communications and Electronics, ICCE 2020 ; Conference date: 13-01-2021 Through 15-01-2021",
year = "2021",
month = jan,
day = "13",
doi = "10.1109/ICCE48956.2021.9352080",
language = "English",
series = "ICCE 2020 - 2020 IEEE 8th International Conference on Communications and Electronics",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "338--343",
editor = "Saewoong Bahk and Phuoc Tran-Gia and {Van der Spiegel}, Jan and Quynh, {Nguyen Xuan}",
booktitle = "ICCE 2020 - 2020 IEEE 8th International Conference on Communications and Electronics",
address = "United States",
}