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Description: 1. The Coral USB Accelerator is an add-on device for Google's Coral Development Board, designed to enhance the performance of TensorFlow Lite models in edge computing applications. 2. It features a custom System on Chip (SoC) with 4 Tensors Cores and 192 Matrix Multiply Accelerators optimized for machine learning inference at the edge. 3. This USB accelerator enables real-time processing of TensorFlow Lite models, providing significant speed improvements compared to running models on the Coral Development Board alone. 4. With the Coral USB Accelerator, developers can implement complex deep learning models directly into their IoT projects without requiring extensive computational resources or cloud connectivity. 5. Its compact form factor allows easy integration with various IoT projects, making it suitable for applications ranging from robotics and drones to smart home systems and industrial automation. 6. It supports both USB 2.0 Full Speed (480Mbps) and USB 3.1 Gen1 (5Gbps) int
| Specification | Details |
|---|---|
| Processor | Qualcomm APQ8009 (Quad-core ARM A53) |
| Memory | 4 GB LPDDR3 RAM |
| Storage | 16 GB eMMC Flash |
| Accelerators | Hexagon Vector Extension (HDX) |
| Connectivity | USB Type-C USB Host USB Device |
| Operating System | Android 8.1 (Go edition) |
| Power Supply | 5V via USB |
| Dimensions | 70mm x 56mm x 13mm |
| Weight | Approximately 45 grams |
| Operating Temp | -20°C to 60°C |
| Certifications | FCC CE RoHS WEEE |
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