Course Content

Deploying ML Models on Edge Devices

Welcome to this comprehensive guide on deploying machine learning models using the Arduino Nano 33 BLE Sense and Open MV Cam H7.

Introduction

In this course, you'll delve into the exciting world of deploying machine learning models using the Arduino Nano 33 BLE Sense and Open MV Cam H7.

We'll start by acquainting you with the essential hardware components necessary for this journey. From there, we'll guide you through the development of foundational machine learning models to provide you with a solid understanding of the entire process.

Goal: Our ultimate goal is to empower you to create a camera trap application capable of monitoring wildlife, serving as a launching pad for your exploration of deploying machine learning models on edge devices.

Requirements

To follow along, you will need the following hardware and software:

  1. Arduino Tiny Machine Learning Kit
  2. Open MV Cam H7
  3. Cloned repository: dsail-tech4wildlife
  4. An Edge Impulse account
  5. Arduino CLI package
  6. Edge Impulse CLI package
  7. OpenMV IDE
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