Embedded image-based machine learning is a technology paradigm that is becoming more and more useful, especially in the field of IoT. As deep learning networks get simpler and smaller, we can expand the power of ML to devices like the Arduino or the Raspberry Pi, supercharging their utility in computer vision tasks in particular.
In this workshop, we’ll show you how to train your Raspberry Pi to detect and classify objects using the very impressive and easy-to-use Edge Impulse web platform for TinyML (via the BalenaCloudOS, which has pre-built API calls to Edge Impulse).
Prerequisites: — Raspberry Pi — Smartphone — Laptop — Pi Camera or a USB webcam
Classify Objects on Pi with Edge Impulse
Embedded image-based machine learning is a technology paradigm that is becoming more and more useful, especially in the field of IoT. As deep learning networks get simpler and smaller, we can expand the power of ML to devices like the Arduino or the Raspberry Pi, supercharging their utility in computer vision tasks in particular.
In this workshop, we’ll show you how to train your Raspberry Pi to detect and classify objects using the very impressive and easy-to-use Edge Impulse web platform for TinyML (via the BalenaCloudOS, which has pre-built API calls to Edge Impulse).
Prerequisites:
— Raspberry Pi
— Smartphone
— Laptop
— Pi Camera or a USB webcam