Automated Visual Inspection for Railway Track Monitoring : Deep Learning and Multi-Class Defect Diagnostics
Railways serve as the backbone of
modern transportation, demanding the highest standards of safety, speed, and
reliability. Behind every smooth journey lies the critical condition of the
rail surface. Over time, the constant friction between heavy steel wheels and
tracks inevitably causes various forms of wear and tear—from hairline cracks
and chipped surfaces to deep contact fatigue depressions—which, if left
unnoticed, can pose serious safety risks.
Traditionally, track inspection
heavily relied on maintenance crews walking along railway lines to spot flaws
with the naked eye. Today, smart cameras paired with artificial intelligence
are transforming this vital task. These intelligent vision systems can
automatically scan, pinpoint, and categorize different track defects directly
from continuous visual feeds, operating fast enough to work seamlessly on
moving inspection vehicles.
This book offers a clear,
accessible look into how computer vision is reshaping modern railway
maintenance. It guides readers through the entire journey: from capturing
images along railway lines and training smart models to recognize subtle
defects, to evaluating their behavior under everyday operational and lighting
conditions. Written in an approachable style, it is an essential read for
engineers, students, and train enthusiasts eager to discover how intelligent
technology keeps railway journeys safe and dependable.
Judul : Automated Visual Inspection for Railway Track Monitoring : Deep Learning and Multi-Class Defect Diagnostics
Penerbit : PT Nasya Expanding Management (Penerbit NEM)
ISBN : Sedang Proses
Penulis : Ir. Teguh Arifianto, S.Kom., M.T., IPM., ASEAN Eng.
Ukuran : 15.5 x 23 cm
Tebal : viii + 82 halaman
Harga : Rp47.700,00
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