Coral from Google

Welcome to RidgeRun's guide to Coral from Google Coral is a complete toolkit from Google to build products with local AI.	Coral from Google Error creating thumbnail: Unable to save thumbnail to destination Introduction Getting Started SoM Overview GStreamer Example Pipelines GstInference Introduction Why use GstInference? Example Pipelines Demos Camera Drivers Introduction MIPI Camera connection How to flash Google Coral How to recompile kernel Adding a new camera driver Troubleshooting Reference Documentation Contact Us
Image taken from: https://coral.ai/products/
Coral from Google
The Coral Dev Board is a board developed by Google, which is ideal for the development of applications that involves the use of machine learning techniques and needs an optimized inference process in some tiny hardware. The Coral board has the benefit of providing a high speed and low power machine learning inference, facilitates the prototyping of ML solutions on embedded devices and the operating system that runs on the board is a Linux-based known as Mendel (Debian derivate). The Coral Dev Board has a cost of $149.99, but for production purposes, there is also a System-on-Module (SoM) ready to be integrated into a custom PCB hardware at a cost of $114.99. RidgeRun knows how important documentation is for your project and how a single source of information may decrease the time-to-market of your product. That's why we've decided to share our expertise with the developer community, creating a centralized wiki with technical documentation, tutorials, examples and much more!
RidgeRun Support
RidgeRun provides support for embedded Linux development for the Coral platform, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the hardware that Coral exposes to perform transformations on the video streams achieving great performance on complex processes. This page contains detailed guides and information on how to get started with the Coral from Google using its full capabilities. R2Inference: is an open-source project from RidgeRun that serves as an abstraction layer in C/C++ for a variety of machine learning frameworks. GstInference: is an open-source project from RidgeRun that provides a framework for integrating deep learning inference into GStreamer. R2Inference GstInference To get up-to-speed with your Coral, start by clicking below: Error creating thumbnail: Unable to save thumbnail to destination
RidgeRun is an official Coral from Google partner and we have created this set of documentation to support our joint customers. If you have any questions on the content, please contact us through our Contact Us page. RidgeRun Resources Quick Start Client Engagement Process RidgeRun Blog Homepage Technical and Sales Support RidgeRun Online Store RidgeRun Videos Contact Us Contact Us Visit our Main Website for the RidgeRun Products and Online Store. RidgeRun Engineering informations are available in RidgeRun Professional Services, RidgeRun Subscription Model and Client Engagement Process wiki pages. Please email to support@ridgerun.com for technical questions and contactus@ridgerun.com for other queries. Contact details for sponsoring the RidgeRun GStreamer projects are available in Sponsor Projects page.