Introduction

Integrate Edge Impulse’s ML with Particle devices to classify objects from a connected camera in real time.

Supported devices

Hardware and supplies

• Supported device
• ucam III

Cloud services and integrations

• Edge Impulse

Project description:

This project demonstrates how to use Edge Impulse to classify objects in front of a camera connected to Particle devices like the Photon 2 or M-SoM. With Edge Impulse’s machine learning capabilities, this project can recognize and classify objects in real time, ideal for smart home systems, security applications, and more.

Key Features:

• Edge Impulse Integration: Leverage Edge Impulse’s ML models to detect objects.
• Device Compatibility: Compatible with Particle Photon 2, Boron, and M-SoM devices.
• Customizable Model: Pre-trained to detect lamps, plants, and pianos, but can be easily retrained to identify other objects.

Steps include:

• Hardware Setup: Connect a uCAM-III camera module to your Particle device.
• Data Collection: Use Edge Impulse to gather and label training images.
• Model Training: Train a custom model on Edge Impulse for object detection.
• Deployment: Deploy the model on Particle and start recognizing objects in real-time.