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🚀 Supercharge your AI edge game with Google’s Coral USB Accelerator!
The Seeed Studio Google Coral USB Accelerator is a compact USB 3.0 device featuring Google's custom Edge TPU ASIC, designed to deliver high-speed, low-power machine learning inferencing on Linux-based systems including Raspberry Pi. It supports TensorFlow Lite models out-of-the-box, enabling developers and professionals to accelerate AI workloads locally with minimal setup, while maintaining compatibility with Google Cloud and popular neural network architectures like MobileNet and Inception.
| ASIN | B084TBYKL9 |
| Best Sellers Rank | 45,182 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 69 in Barebone PCs |
| Box Contents | Seeed Studio Google Coral USB-Beschleuniger und Kabel |
| Brand | seeed studio |
| Brand Name | seeed studio |
| CPU Model | 80386 |
| CPU model | 80386 |
| CPU speed | 32 MHz |
| Compatible Devices | Raspberry Pi, Other Single-Board Computers, Google Cloud Connected Devices |
| Connectivity technology | USB |
| Customer Reviews | 4.3 out of 5 stars 47 Reviews |
| Manufacturer | seeed studio |
| Manufacturer Part Number | 114991790U |
| Model Name | Studio |
| Model Number | 114991790U |
| Model name | Studio |
| Network Connectivity Technology | USB |
| Operating System | Linux |
| Processor Brand | Microchip Technology |
| Processor Count | 1 |
| Processor Speed | 32 MHz |
| RAM Memory Installed | 1 GB |
| RAM Memory Technology | LPDDR3 |
| RAM memory installed size | 1 GB |
| Total USB Ports | 1 |
| UPC | 886268616142 |
| Unit Count | 1.0 count |
| Wireless Compability | Bluetooth |
J**N
Great addition for Frigate
Having purchased a Coral USB from a UK supplier that was DOA, it was with a little bit of trepidation that I ordered via Amazon's Global Store. However, the Amazon device worked out of the box and is a fabulous addition to a Frigate installation. My mini-PC's fan is no longer on 24/7. Inference is down from above 40ms to below 9ms. CPU usage is down from high 40% to below 12%. Seeing how difficult these are to get hold of, I might buy another, just in case.
E**K
Useful for TensorFlow Lite.
Unlike other USB sticks (like the Intel NCS2) this will only run TF Lite, nothing else. Works well for inference (cannot strictly train on this except under limited circumstances i.e. the FC/Dense layers in a model, all other weights must be frozen). If you are looking at developing for upcoming Android platform ASIC's (on a phone for instance) this is an ideal test device to make sure your models are ready and deployable. Believe folk buy for the Raspberry Pi... never had one but from what I hear very good for this as well. Very small and light, took me 20 minutes from unboxing to running inference demos under Ubuntu 19.04.
Z**N
Must have hardware for frigate
Fast delivery and product is as described. Works really well with Frigate!
K**Y
Parfait
Je l'utilise avec Frigate.Ca fait parfaitement le job avec 6 caméras.
J**2
Awesome
Awesome. Helps me with my project. Have to tinker a bit with the command line on Linux, which ai helps with. A great hobbyist tool. Happy with the purchase
B**E
era molto che volevo acquistarlo
ma nessuno lo vendeva su amazon.... per darvi un'idea, in un video 640x480, l'algoritmo object detection (SSD Mobilenet) allenato su COCO dataset impiega 2 millisecondi a frame, indipendentemente dal numero di oggetti presenti... pazzesco, se pensate che RPI4 fa a malapena 3 frame al secondo. chiaramente tira da bestia se usato su usb3, e senza aumentarne il clock (si può fare per farlo andare ancora più veloce). il riconoscimento dei visi è spettacolare e velocissimo.
D**.
If you use Frigate in Home Assistant, this is a must-have.
If you use Frigate in Home Assistant, this is a must-have. Remember it wont work with Frigate-FA - took me a bit extra time to configure mine as I was using the full access version of frigate, then installed the standard, and it worked like a charm.
Trustpilot
2 weeks ago
3 weeks ago