Description
Features
- Performs high-speed ML inferencing: High-speed TensorFlow Lite inferencing with low power, small footprint, local inferencing.
- Supports all major platforms: Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.
- Supports TensorFlow Lite: No need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE.
- Supports AutoML Vision Edge: easily build and deploy fast, high-accuracy custom image classification models at the edge.
- Compatible with Google Cloud.
Specification
|
ML Accelerator |
Google Edge TPU coprocessor: 4 TOPS (int8); 2 TOPS per watt |
|
Connector |
USB 3.0 (USB 3.1 Gen 1) port and cable (SuperSpeed, 5 Gbps) Included cable is USB Type-C to Type-A, and 300 mm (12 in) in length |
|
Dimensions |
65 mm x 30 mm |
Application
● AI-enabled NVR system
If you are planning to use Coral USB Accelerator for Home Assistant of home automation applications, we recommend ODYSSEY Blue, an Intel Celeron J4125 powered X86 Windows/Linux mini PC, you can set them together with IP cameras for a local AI processed NVR system.
● Tutorials to build intelligent devices with Coral
Reviews
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