ไทยTH

Deploying AI models to edge devices

This knowledge unit is in development. Its planned scope and sources are listed below.

Scope

Quantisation, ONNX, TensorRT, latency measurement and power constraints

Key references

  1. Warden, P., & Situnayake, D. (2020). TinyML: Machine learning with TensorFlow Lite on Arduino and ultra-low-power microcontrollers. O'Reilly Media.
  2. ONNX Runtime. Documentation. link

Used in courses

UAT 322 Artificial Intelligence and Autonomous Unmanned Aircraft Systems Integration LaboratoryUAT 470 Intelligent Image Analysis SystemsUAT 485 Edge AI Computing

How to cite this page

Drone Institute, Rangsit University. (2026). Deploying AI models to edge devices. In UAS Technology Knowledge Hub (B.Tech.). https://rsu-uat.pk-research.work/en/kb/new/edge-deploy/