Google Coral USB Accelerator

The Google Coral USB Accelerator is a great addition to your system, bringing an Edge TPU coprocessor. It comes with a USB socket that allows connection to any Linux - based system, enabling accelerated ML inferencing. The on - board Edge TPU, a small ASIC designed by Google, offers high - performance ML inferencing at low power cost. For instance, it can run advanced mobile vision models like MobileNet v2 at 400 FPS efficiently. It works well with Debian Linux and can be connected to any Debian - based Linux system using the included USB 3.0 Type - C cable. It supports TensorFlow Lite, so you don't have to build models from scratch. Also, it supports AutoML Vision Edge, making it easy to build and deploy fast, high - accuracy custom image classification models on your device. For more details and support, visit the Coral USB Accelerator website.

To use the Google Coral USB Accelerator, first connect it to a Debian - based Linux system using the included USB 3.0 Type - C cable. You don't need to build models from the start as it supports TensorFlow Lite models. Just compile your TensorFlow Lite models to run on the Edge TPU. If you want to create custom image classification models, use AutoML Vision Edge to build and deploy them quickly. When using the accelerator, make sure your system meets the basic requirements for Debian Linux. As for maintenance, keep the USB connector clean to ensure a good connection. If you encounter any issues, visit the Coral USB Accelerator website for more information and support.