An Initial Evaluation of Video-Based Fire Detection Technologies

Abstract

Computer processing and image analysis technologies have improved significantly to allow the recent development of effective video-based fire detection systems. Currently, smoke detection algorithms are the most mature. Typically, these systems are being designed and used in large facilities, outdoor locations, and tunnels. However, the technologies are also expected, with some modifications, to be effective in smaller, cluttered compartments found on ships. With the move to use onboard video surveillance, there are advantages in using the video images for other functions, such as fire detection. The video-based recognition technology also has future potential for personnel tracking, flooding detection, and physical damage assessment onboard ship as more event recognition algorithms are developed. This work represents the initial evaluation of video-based detection technologies for improved situations awareness and damage control assessment onboard Navy ships. The test results indicate that the video-based detection systems using smoke alarm algorithms can provide comparable to better fire detection than point-type smoke detectors.

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Document Details

Document Type
Technical Report
Publication Date
Jan 09, 2004
Accession Number
ADA440353

Entities

People

  • Daniel T. Gottuk
  • Frederic W. Williams
  • John P. Farley
  • Joseph L. Scheffey
  • Matthew Harrison
  • Susan L. Rose-Pehrsson

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Cameras
  • Cardboard Boxes
  • Chemistry
  • Computers
  • Damage Assessment
  • Data Acquisition
  • Detection
  • Detectors
  • Failure Mode And Effect Analysis
  • Fire Alarm Systems
  • Graphical User Interface
  • Image Recognition
  • Recognition
  • Situational Awareness
  • Smoke Detectors
  • Video Images
  • Warning Systems

Fields of Study

  • Computer science

Readers

  • Control Systems Engineering.
  • Fire Suppression Systems Design.
  • Sensor Fusion and Tracking Systems.