Binocular Multispectral Adaptive Imaging System (BMAIS)

Abstract

The Binocular Multispectral Adaptive Imaging System (BMAIS) is being developed as a replacement for night vision goggles that will also facilitate the integration of other sensor and systems that are part of the pilots situational awareness in the cockpit and overall mission operational environment. The development approach is structured to accommodate the technology advances of the sensors and displays in order to realize the performance enhancements afforded by the technology evolution in those respective areas. BMAIS is a binocular helmet mounted imaging system that features dual shortwave infrared (SWIR) cameras, embedded image processors and dual electronic displays to present the imagery to the pilot. The system is ergonomically designed to be light weight with a component distribution to minimize the moment arm on the helmet. The unit supports sophisticated image processing with adaptive fusion, and the integration of external aircraft systems to include sensor imagery, embedded symbology and other aircraft/mission data. The system is fully digital allowing image enhancement algorithms and fusion of other sensor sites such as forward looking infrared (FLIR) and other aircraft subsystems. BMAIS is attached to the helmet via the standard banana clip on the HGU-55/P helmet.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 26, 2010
Accession Number
AD1033984

Entities

People

  • Wesley Sheridan

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircraft Equipment
  • Aircrafts
  • Algorithms
  • Binoculars
  • Computer Programming
  • Computers
  • Contracts
  • Detectors
  • Engineering
  • Environment
  • Image Processing
  • Multispectral
  • Night Vision
  • Short-Wavelength Infrared Radiation
  • Standards

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems