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UID:pretalx-pydata-amsterdam2026-HDXACL@pretalx.com
DTSTART;TZID=CET:20260910T150500
DTEND;TZID=CET:20260910T153500
DESCRIPTION:Distributed Acoustic Sensing (DAS) turns ordinary fiber-optic c
 ables into continuous microphones stretching up to 100 km. By firing laser
  pulses down the fiber and measuring the backscattered light\, every meter
  of cable becomes a vibration sensor sampling at thousands of hertz. The r
 esult is a rich spatiotemporal data stream that captures everything happen
 ing along and around the track\, from passing trains to footsteps.\n \nWe 
 explore multiple applications of DAS along the Dutch rail network. In this
  talk\, we'll focus on two of them: real-time trespasser detection using Y
 OLOv8 image recognition on DAS spectrograms\, and real-time train detectio
 n and tracking combining classic STA/LTA triggering with Kalman filtering\
 , both running on local edge hardware. We conclude by a short overview of 
 related work on rail defect detection and subsurface monitoring.
DTSTAMP:20260710T150504Z
LOCATION:Room 1 (170)
SUMMARY:The unreasonable effectiveness of DAS: ML on fiber-optic vibration 
 data for rail monitoring - Schelto Crone\, Joost van 't Schip
URL:https://pretalx.com/pydata-amsterdam2026/talk/HDXACL/
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