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http://dx.doi.org/10.5762/KAIS.2016.17.7.14

Research on the Ammunition Automatic Test Algorithm for Improving Safety & Reliability of 40mm Grenade(K212) Fuze  

Ju, Jin-Chun (Defense Agency for Technology and Quality)
Kweon, Mee-Sun (BNSoft Incorporated)
Kim, Sang-Min (Boeun Plant, Hanwha Corporation)
Ahn, Nam-Su (Department of Industrial Management, Ulsan College)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.7, 2016 , pp. 14-22 More about this Journal
Abstract
Because fuses have many parts, human error can occur during visual inspections. This paper proposes an automatic ammunition test algorithm for preventing human error during an inspection. The automatic ammunition test algorithm consists of the following three steps. First, the image input and preprocessing step is where an inspection image is rotated using an image rotation algorithm and the image is converted to a binary image. Second, the inspection step of arming determines if the ammunition is armed using Masked Template Matching algorithm, etc. Third, the inspection step of the parts determines if the parts are omitted using an image searching algorithm, etc. The arming or parts omission of the fuse are detected efficiently using the ammunition automatic test algorithm. The ammunition automatic test algorithm is expected to help improve the safety and reliability of 40 mm grenade fuse.
Keywords
40mm Grenade; Ammunition Automatic Test Algorithm; Automatic Test Equipment; Masked Template Matching; Template Matching;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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