Phase I: FY01 Investigative Study for the Advanced Volume Sensor

Abstract

This report presents an overview of relevant resesarch and commercially available products as of FY01 that utilize spatial and spectral methods for fire detection systems. New capabilities are desired that can monitor damage control events in an entire space at a mimmal cost. Optical detection methods are being investigated because this technology offers an effective means to monitor the entire space or volume without relying on diffusion of effluents to point sensors. Pattern recognition methods of video camera images (machine vision: spatially resolved) and spectrally resolved detection methods are being investigated for a volume sensor. Acoustic detection methods are also being considered and would be attractive for events such as flooding or pipe rupture. This is the first phase of the Advanced Volume Sensor task in the Future Naval Capabilities ONR program Advanced Damage Countermeasures. Several technologies are identified as having potential in the volume sensor development effort. The resulting system is expected to provide sensitive and selective detection of damage control events including fire.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2003
Accession Number
ADA416547

Entities

People

  • Daniel T. Gottuk
  • Frederic W. Williams
  • Jeffrey C. Owrutsky
  • Justin A. Geiman
  • Susan L. Rose-Pehrsson

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Cameras
  • Computer Vision
  • Detection
  • Detectors
  • Fire Detectors
  • Image Processing
  • Infrared Detectors
  • Light Sources
  • Optical Detectors
  • Pattern Recognition
  • Remote Sensing
  • Research Facilities
  • Scattering
  • Signal Processing
  • Smoke Detectors
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects