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Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery...

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name:Yuming Hu
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name:Feng Qian
linkedin:fqian
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name:Dapeng Wu
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slides:none on file

Built a real-time monitoring system that attaches IMU and BLE beacons to delivery trolleys, uses an adapted RSSI‑to‑distance model plus particle filtering and accelerometer heuristics on Raspberry Pi receivers to detect speeding, wrong routes, lift misuse, and off-hours deliveries; deployed across 12 Hong Kong stations covering over 200 shops with 42,248 deliveries (3521.4 km) and cheap $9 ground‑level beacons; achieves speeding down from 19% to 2.7% over three years and reports ≈0.3 m/s speed error and 2.17 m localization.

AI-written summary · about

  1. 0:00Introduction
  2. 2:09Subway delivery violations
  3. 3:58Deploying automatic monitoring
  4. 5:24DEMO system design
  5. 7:31Hardware specs and beacon deployment
  6. 9:20Speed detection fixes
  7. 10:22Real-time violation alerts
  8. 11:49Operation results and savings
  9. 13:18Beacon failure rates
  10. 14:25Staff feedback and experiments
  11. 16:14Summary
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