

🚀 Supercharge your AI edge projects with Google's USB TPU accelerator!
The Google Coral USB Edge TPU ML Accelerator is a compact, high-performance coprocessor designed to boost machine learning inferencing on Raspberry Pi and other embedded single board computers. Featuring a 5Gb/s USB 3.1 interface, an ARM Cortex-M0+ MCU, and full support for TensorFlow models like MobileNet and Inception, it enables real-time AI processing with seamless Linux compatibility and Google Cloud integration.

| ASIN | B07R53D12W |
| Batteries Included | No |
| Batteries Required | No |
| Best Sellers Rank | #117,290 in Electronics ( See Top 100 in Electronics ) #175 in Motherboards |
| Brand | Google Coral |
| Connector Type | USB |
| Customer Reviews | 4.3 4.3 out of 5 stars (458) |
| Date First Available | 18 January 2020 |
| Does it contain liquid? | No |
| Hardware Interface | USB |
| Item Dimensions LxWxH | 7.6 x 5.1 x 2.5 Centimeters |
| Item Weight | 90 g |
| Item model number | Coral-USB-Accelerator |
| Manufacturer | Google Coral |
| Memory Storage Capacity | 16 KB |
| Model | Coral-USB-Accelerator |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| Processor Speed | 32 MHz |
| Product Dimensions | 7.62 x 5.08 x 2.54 cm; 90 g |
A**H
AI at home
Combined with a Raspberry Pi 4 and a custom 3D printed case - as described at the Google MakerAI website. Was able to do the projects as specified. Requires a temperature check every now and then. Too good to be ignored by the serious explorer!
P**Y
Works well with Frigate Home Assistant
Pricey but works well with homeassistant. Using six cameras with frigate in homeassistant installed on a celeron NUC. Good stuff .
B**W
Please do not buy this
This product is more of a relic now and should not be sold online to unsuspecting customers. None of the python packages required to run models on this device are supported or maintained by the manufacturer anymore. I bought this for a hobby project and gave up after several weeks of trying to get it to function.
D**L
Bad seller..
The device is working fine. But the problem is with seller. Seller sold me an used item. I wish if could return it but. Thanks to government for not allowing to import directly. I have to keep the item, which I paid double the original price and used item.
J**N
Super produit qui va sur mon mini serveur sur lequel tourne Frigate NVR, il prend toute la charge de détection des objets et soulage le CPU à moindre frais Un peu compliqué à installer sous linux quand on a pas de Debian, je suis sous mageia, mais je laisse 5 étoiles quand même
J**N
perfecto para no bloquear el pc con el proceso de video en home assistant
ك**ف
Good
P**A
A great processor for CCTV processing. I use this with the free Frigate CCTV system linked to 6 Reolink cameras. It plugs into the USB port on the PC and is powered through that. Easily detected by Frigate which then sends it the code to set it up so all very simple. It then offloads image processing to this device so person / car detection doesn't flog the PC and is more reliable. Not a cheap device but performs well.
T**O
I was a little sketched out by seeing this listing for half the price of any other one but seeing it was fulfilled by Amazon I took the plunge. Glad I did as well. Running this on an 8th gen i5 NUC and it has reduced my inference time w/ Tensorflow Lite from 1-1.5 seconds when using the i5 to under 20ms using the Coral. Absolutely amazing.
Trustpilot
1 month ago
1 month ago