Development of an automatic testing platform for aviator’s night vision Goggle honeycomb defect inspection

Bo Lin Jian, Chao-Chung Peng

Research output: Contribution to journalArticle

Abstract

Due to the direct influence of night vision equipment availability on the safety of night-time aerial reconnaissance, maintenance needs to be carried out regularly. Unfortunately, some defects are not easy to observe or are not even detectable by human eyes. As a consequence, this study proposed a novel automatic defect detection system for aviator’s night vision imaging systems AN/AVS-6(V)1 and AN/AVS-6(V)2. An auto-focusing process consisting of a sharpness calculation and a gradient-based variable step search method is applied to achieve an automatic detection system for honeycomb defects. This work also developed a test platform for sharpness measurement. It demonstrates that the honeycomb defects can be precisely recognized and the number of the defects can also be determined automatically during the inspection. Most importantly, the proposed approach significantly reduces the time consumption, as well as human assessment error during the night vision goggle inspection procedures.

Original languageEnglish
Article number1403
JournalSensors (Switzerland)
Volume17
Issue number6
DOIs
Publication statusPublished - 2017 Jun 15

Fingerprint

aircraft pilots
Night Vision
Aviators
Eye Protective Devices
goggles
Goggles
Automatic testing
night vision
inspection
platforms
Inspection
Defects
defects
sharpness
aerial reconnaissance
Maintenance
Imaging systems
Safety
Equipment and Supplies
night

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

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Development of an automatic testing platform for aviator’s night vision Goggle honeycomb defect inspection. / Jian, Bo Lin; Peng, Chao-Chung.

In: Sensors (Switzerland), Vol. 17, No. 6, 1403, 15.06.2017.

Research output: Contribution to journalArticle

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