London Underground Is Testing Real-Time AI Surveillance Tools to Spot Crime

Key Points:

  • ransport for London used computer vision system to detect crime, weapons, falls on tracks, and fare dodgers
  • 44,000+ alerts issued during the test, with 19,000 real-time alerts to staff
  • AI system targeted safety incidents and criminal behavior, but made errors detecting certain objects and behaviors

Summary:

London’s Underground employs computer vision to detect crimes, fare dodgers, and even potential track tumbles. From Willesden Green station, an AI experiment unfolds, blending machine learning with live CCTV footage to keep tabs on passengers. Not just for crime, but for safety too, as the system aims to rescue those in need. Privacy concerns remain as experts raise red flags over accuracy, ethics, and the ominous potential for facial recognition.

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