Difference between revisions of "Template:Google Coral/Main contents"

From RidgeRun Developer Connection
Jump to: navigation, search
Line 28: Line 28:
 
The [https://coral.ai/ '''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 in the board is a Linux-based knows as [https://coral.googlesource.com/docs/+/refs/heads/master/GettingStarted.md Mendel] (Debian derivate).
 
The [https://coral.ai/ '''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 in the board is a Linux-based knows as [https://coral.googlesource.com/docs/+/refs/heads/master/GettingStarted.md Mendel] (Debian derivate).
  
This board is composed of an NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi,  Bluetooth and Googles's '''Edge TPU''' coprocessor which is its main component. The Edge TPU is an ASIC that is responsible to provide the high speed and low power inference mentioned above.
+
The Coral Dev Board has a cost of [https://coral.ai/products/dev-board $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 [https://coral.ai/products/som $114.99].
 
 
The Coral Dev Board has a cost of [https://coral.ai/products/dev-board $149.99], but for production porpuses, there is also a '''System-on-Module (SoM)''' ready to be integrated into a custom PCB hardware at a cost of [https://coral.ai/products/som $114.99].
 
  
 
RidgeRun knows how important documentation is for your project and  
 
RidgeRun knows how important documentation is for your project and  
Line 39: Line 37:
 
|-
 
|-
 
| width="100%" valign="top" colspan="3" style="background-color: #004a9f; font-weight: bold; text-align: center; color:#ffffff"|
 
| width="100%" valign="top" colspan="3" style="background-color: #004a9f; font-weight: bold; text-align: center; color:#ffffff"|
RidgeRun support
+
RidgeRun Support
 
|-
 
|-
 
| width="100%" valign="top" colspan="3"|
 
| width="100%" valign="top" colspan="3"|
Line 45: Line 43:
  
 
This page contains detailed guides and information on how to get started with the Coral from Google use its full capabilities.
 
This page contains detailed guides and information on how to get started with the Coral from Google use its full capabilities.
 +
 +
 +
<html>
 +
<style>
 +
.column {
 +
  float: left;
 +
  width: 33%;
 +
  padding: 1px;
 +
}
 +
 +
/* Clear floats after image containers */
 +
.row::after {
 +
  content: "";
 +
  clear: both;
 +
  display: table;
 +
}
 +
</style>
 +
<div class="row">
 +
  <div class="column">
 +
    <a href="https://developer.ridgerun.com/wiki/index.php?title=Coral_from_Google">
 +
        <img src="https://developer.ridgerun.com/wiki/images/6/62/Works_with_coral_svg.svg" alt="Coral from Google" style="width:500px">
 +
    </a>
 +
  </div>
 +
  <div class="column">
 +
    <div class="row">
 +
    <b>R2 Inference</b>
 +
    </div>
 +
    <a href="https://developer.ridgerun.com/wiki/index.php?title=R2Inference">
 +
        <img src="https://developer.ridgerun.com/wiki/images/4/43/R2Inference_Logo.svg" alt="R2 Inference" style="width:300px">
 +
    </a>
 +
  </div>
 +
  <div class="column">
 +
    <div class="row">
 +
    <b>GstInference</b>
 +
    </div>
 +
    <a href="https://developer.ridgerun.com/wiki/index.php?title=GstInference">
 +
        <img src="https://developer.ridgerun.com/wiki/images/1/10/GstInference_Logo.svg" alt="R2 Inference" style="width:300px">
 +
    </a>
 +
  </div>
 +
</div>
 +
</html>
 +
  
 
To get up-to-speed with your Coral, start by clicking below:
 
To get up-to-speed with your Coral, start by clicking below:
Line 52: Line 92:
 
|-
 
|-
 
| width="100%" valign="top" colspan="3" style="background-color: #004a9f; font-weight: bold; text-align: center; color:#ffffff"|
 
| width="100%" valign="top" colspan="3" style="background-color: #004a9f; font-weight: bold; text-align: center; color:#ffffff"|
<span style="font-size:120%"> RidgeRun contact </span>
+
<span style="font-size:120%"> RidgeRun Contact </span>
 
|-
 
|-
 
| width="100%" valign="top" colspan="3"|
 
| width="100%" valign="top" colspan="3"|

Revision as of 13:12, 16 February 2021

Welcome to RidgeRun's guide to Coral from Google

Coral is a complete toolkit from Google to build products with local AI.


Error creating thumbnail: Unable to save thumbnail to destination
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 in the board is a Linux-based knows 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 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 use its full capabilities.


R2 Inference
R2 Inference
GstInference
R2 Inference


To get up-to-speed with your Coral, start by clicking below:

Error creating thumbnail: Unable to save thumbnail to destination


RidgeRun Contact

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

OOjs UI icon message-progressive.svg 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. Ridgerun-logo.svg
RR Contact Us.png