Artificial Intelligence-Explosive Ordnance Disposal Information Search, Retrieval, and Delivery System

Abstract

The objective of the Artificial Intelligence-Explosive Ordnance Disposal (AI-EOD) project was (1) to develop, test, and evaluate an efficient, easy-to-use information delivery system for identifying ordnance and retrieving the appropriate render-safe-procedures and (2) to demonstrate the effectiveness of an Al-based (neural network) system in improving performance of EOD technicians. This technical report presents the results of the design and development effort, and the results and conclusions of the test and evaluation of the prototype AOI-EOD system.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1992
Accession Number
ADA250658

Entities

People

  • Harry B. Conner
  • Joe V. Holland
  • Robert A. Williams
  • Ronald G. Madrid

Tags

Communities of Interest

  • Counter IED
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Application Software
  • Artificial Intelligence
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Analysis
  • Databases
  • Explosive Ordnance Disposal
  • Explosives
  • Information Systems
  • Munitions
  • Neural Networks
  • Operating Systems
  • Test And Evaluation
  • Warfare

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval