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Farooq et al., 2024 - Google Patents

An improved YOLOv8 for foreign object debris detection with optimized architecture for small objects

Farooq et al., 2024

Document ID
11296755480497940428
Author
Farooq J
Muaz M
Khan Jadoon K
Aafaq N
Khan M
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

Abstract Automated Foreign Object Debris (FOD) detection offers significant benefit to the aviation industry by reducing human error and enabling continuous surveillance. This paper focuses on addressing the intricacies of FOD detection, with a specific emphasis on treating …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
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