Machine Vision Fire Detection Technology

Abstract

The paper will briefly outline problems with existing optical (ultraviolet and infrared) fire detectors and then presents a new type of detection technology. The new technology is called machine vision and has resulted in the development of the Machine Vision Fire Detection System (MVFDS). A prototype MVFDS will be demonstrated. It is based on work performed by the Air Force Fire Research Laboratory located at Tyndall Air Force Base. The two most important requirements of fire detectors used in ordnance operations are fast detection of a pyrotechnic/propellant fire event and reliable, false alarm-proof operation. It is of the utmost importance to identify the event in time to apply the suppressant to the developing fire event before a catastrophe situation occurs. It is also important that the detector does not false alarm to a nonfire event, which could result in an extended downtime of the fire protection system and production line, financial loss, and adverse environmental impact. It has been proven in tests with the MVFDS that there are certain unique characteristics that can distinguish fires from possible false alarm sources. This is done accurately, rapidly, and unequivocally with the algorithms/software developed in this system and implemented with the computer and camera hardware identified in this study. The MVFDS capabilities provide for a major increase in fire detector immunity to false alarms, and greater fire protection system reliability.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1994
Accession Number
ADA507527

Entities

People

  • Robert A. Loyd

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Charge Coupled Devices
  • Computer Vision
  • Detection
  • Detectors
  • Environment
  • Explosives
  • False Alarms
  • Fire Detectors
  • Fire Protection
  • Image Processing
  • Infrared Detectors
  • Ionizing Radiation
  • Light Sources
  • Munitions
  • Visible Spectra
  • Warning Systems

Readers

  • Computer Vision.
  • Fire Suppression Systems Design.
  • Systems Analysis and Design