~/talk

Keynote: Python vs Orangutan

on YouTube 36m
Talkat PyData Amsterdam 2017 · 2017-04-07..04-09· [machine-learning, web-platform]

speaker

name:Dirk Gorissen
links:none on file

resources

video:https://youtu.be/vBHq3_C6uMM
slides:none on file

summary

A drone system detects implanted radio pings to locate six orangutans across ~2000 km2 by flying lawn‑mower patterns, collecting samples with a software-defined radio and a single‑board computer, and running on‑board processing in Python with numpy. Implants ping every two seconds and handheld range is ~200 m; drone tests reach 120 m altitude, ~20–30 m localization accuracy, ~20 min endurance. Prototype proves the concept in Borneo but endures heat, crashes and a lost airframe; more sensitivity and terrain following are needed.

AI-written summary · about

chapters (11)

  1. 0:00Introduction
  2. 1:48Orangutan tracking problem
  3. 8:29Drone tracking proposal
  4. 12:22Python drone system
  5. 15:08Signal processing logic
  6. 17:57UK proof of concept
  7. 21:52Borneo field testing
  8. 26:08First blind tracking success
  9. 30:28Challenges and drone loss
  10. 31:33Lessons learned
  11. 34:21Conservation hope

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