A Visual Real-time Fire Detection using Single Shot MultiBox Detector for UAV-based Fire Surveillance

A. Q. Nguyen, H. T. Nguyen, V. C. Tran, Huy X. Pham, J. Pestana

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    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.

    Original languageEnglish
    Title of host publication2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)
    EditorsSaewoong Bahk, Phuoc Tran-Gia, Jan Van der Spiegel, Nguyen Xuan Quynh
    Number of pages6
    PublisherIEEE
    Publication dateJan 2021
    Pages338-343
    ISBN (Print)9781728154695
    DOIs
    Publication statusPublished - Jan 2021
    Event8th IEEE International Conference on Communications and Electronics, ICCE 2020 - Phu Quoc, Viet Nam
    Duration: 13 Jan 202115 Jan 2021

    Conference

    Conference8th IEEE International Conference on Communications and Electronics, ICCE 2020
    Country/TerritoryViet Nam
    CityPhu Quoc
    Period13/01/202115/01/2021
    SponsorIEEE Antenna and Propagation Society (APS), IEEE Photonics Society

    Keywords

    • CNN
    • fire detection
    • real-time object detection
    • SSD
    • UAV

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