~/talk

Scaling Edge AI with Elixir and Nerves

on YouTube 20m
Talkat Code BEAM Lite Stockholm 2025 · on Monday, 2025-06-02· [machine-learning, elixir-and-erlang]

speakers

name:Vittoria Bitton
github:vittoriabitton
name:Paulo Valente
links:none on file

resources

video:https://youtu.be/nRq5Gnf-n3c
slides:none on file

summary

Elixir + Nerves run an on-device AI pipeline on a Raspberry Pi with the Hailo HAT, using precompiled AGF models and custom NX‑Halo NIFs to load devices, configure network groups and call infer in real time; an OpenCV binding (EVision) captures frames, YOLOv8 does detection, postprocessing draws boxes and the demo detects people live (two at one point) at under $150 hardware cost and no cloud calls, showing a working, self‑contained edge setup.

AI-written summary · about

chapters (8)

  1. 0:00Scaling Edge AI with Elixir
  2. 1:06Discovering Nerves and NX
  3. 2:55Building NX Halo library
  4. 5:19Pre/post-processing for YOLO V8
  5. 6:48Live real-time object detection
  6. 10:49Benefits of self-contained AI
  7. 11:53Future of Raspberry Pi clustering
  8. 13:38Q&A on models and setup

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