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Google Coral Solutions for on-device intelligence



Coral is enabling a new generation of intelligent devices.

Google Coral all hardware is available at Gravitylink online store: https://store.gravitylink.com/global

Gravitylink is a global volume distributor of Google Coral.

If you are interested in Google Coral products, and more details about large volume or bulk sales (Volume Discounts) , welcome to contact our sales team via email: sales@gravitylink.com or market@gravitylink.com, and we'll get back to you with our best quotation ASAP. 




Coral is a complete toolkit to build products with local AI. Our on-device inferencing capabilities allow you to build products that are efficient, private, fast and offline.
Flexible enough for startups and large-scale enterprises

Google Coral Solutions for on-device intelligence


Object detection:
Draw a square around the location of various recognized objects in an image.

 Pose estimation:
Estimate the poses of people in an image by identifying various body joints.

 Image segmentation:
Identify various objects in an image and their location on a pixel-by-pixel basis.

Key phrase detection: Listen to audio samples and quickly recognize known words and phrases.

 Accelerate ML in a form factor best fit for your product. Prototyping devices include a single-board computer and USB accessory; production-ready devices include a system-on-module and PCIe module.

📢Google AIY Kits（Voice Kit v2 & Vision Kit v2),Coral Dev Board, USB Accelerator, Mini PCIe Accelerator, M.2 Accelerator A+E/B+M key, System-on-Module (SoM) are all available(in stock) at #Gravitylink online store!
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10 questions you should know about Google Edge TPU

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How to Retrain an object detection model

This tutorial shows you how to retrain an object detection model to recognize a new set of classes. You'll use a technique called transfer learning to retrain an existing model and then compile it to run on an Edge TPU device—you can use the retrained model with either the Coral Dev Board or the Coral USB Accelerator. Specifically, this tutorial shows you how to retrain a MobileNet V1 SSD model (originally trained to detect 90 objects from the COCO dataset) so that it detects two pets: Abyssinian cats and American Bulldogs (from the Oxford-IIIT Pets Dataset). But you can reuse these procedures with your own image dataset, and with a different pre-trained model. The steps below show you how to perform transfer-learning using either last-layers-only or full-model retraining. Most of the steps are the same; just keep an eye out for the different commands depending on the technique you desire. Note: These instructions do not require deep experience with TensorFlow o...
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Introducing Google Coral Dev Board

Introducing Google Coral Dev Board (Part 1) Introducing Google Coral Dev Board (Part 2) Introducing Google Coral Dev Board (Part 3) Introducing Google Coral Dev Board (Part 4)
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