EyeCloudAI CDK

by EyeCloud

An open edge-AI camera kit compatible with OpenVINO and based on the Intel Myriad X

View all updates Jun 29, 2021

Why EyeCloudAI CDK with the eMMC Expansion Board?

by Johanna S

Before starting on today’s story, I’d like to share the good news that our project is funded! Thank you, backers! You should also know that we’ve created a Discord for you to ask questions and share ideas. Please join us! https://discord.gg/k4unm4CN

Okay, now let’s talk about today’s topic of why we offer a pledge of EyeCloudAI CDK with the eMMC Expansion Board.

Some Project Background

No doubt, 2020 was a year worth mentioning in the history books as almost the whole world was locked down because of the Covid-19 pandemic. While we were isolated in the physical world, as gregarious creatures we virtually connected to each other with various internet tools. Video meetings started to penetrate our daily lives and we’ve become used to it for much online communication stuff.

To support and inspire more customizable and fantastical ideas, we had the plan to make an AiWebCam which would be plug-and-play with video meeting applications.

EyeCloudAI CDK is the development version of this AiWebCam, which is combined with a core board for AI computing and an eMMC Expansion Board for booting from local storage.

Technical Design Details

The isolated Core Board is designed to be integrated into other products with a host machine such as a PC, an ARM, a Raspberry Pi, and so on. This is because the Movidius Myriad X VPU does not store AI models, every time it is powered on, a host machine is required to load AI models to the Core Board for the Myriad X VPU inference.

Workflow of EyeCloudAI Core Board

However, when used for video meetings, loading AI models every time is a redundant step and webcam technology is the preferred type of camera. So we integrated AI Cam with a webcam, creating an AiWebCam solution.

Power-on Workflow of EyeCloudAI Core Board with eMMC Expanding Board

Demo

Okay, let me show you a demo of a face detection WebCam developed from EyeCloudAI CDK.

Here I have to mention that to change the AI models inside the eMMC Expansion Board, you have to upgrade the firmware of the EyeCloudAI CDK. Specifically, the AI model should be integrated into the firmware and then loaded to the EyeCloudAI CDK for upgrading.

Upgrading Workflow of EyeCloudAI Core Board with eMMC Expansion Board

Do you have any ideas for EyecloudAI projects? You are welcome to share them with us!

About the Author

Johanna S

johannasss  ·   San Jose, CA


$3,114 raised

of $1 goal

Funded! Order Below

Product Choices

$134

EyeCloud AI CDK - Core Board

A dev board based on Intel's Movidius Myriad X VPU with 8 Gb of DDR and two neural-computing engines. Measures 38 x 38 mm and comes with a 30 cm USB Type-C cable


$154

EyeCloudAI CDK with eMMC Expansion Board

A variant of the EyeCloudAI CDK core board designed for independent, stand-alone operation. Includes an 8 GB eMMC expansion board that allows it to boot from local storage. Measures 38 x 38 mm and comes with a 30 cm USB Type-C cable.


$25

2 MP RS Sensor Module

An independent 2 MP rolling-shutter sensor with a changeable M 12 lens. If your applications do not require high-speed capture or high-resolution imagery, this is a good, cost-efficient option. Requires an EyeCloudAI CDK Core Board. Measures 38 x 38 mm.


$92

2 MP GS Sensor Module

An independent 2 MP global-shutter sensor, based on the Onsemi AR0234CS, that captures up to 120 frames per second through a changeable M 12 Lens. Recommended for applications that involve production lines, transportation systems, and other scenarios that require the ability to capture fast-moving objects. Requires an EyeCloudAI CDK Core Board. Measures 38 x 38 mm.


$61

8 MP RS Sensor Module

An 8 MP rolling-shutter sensor with a changeable M 12 Lens. Recommended for applications that require high-resolution imagery. Requires an EyeCloudAI CDK Core Board. Measures 38 x 38 mm.

Credits

EyeCloud

We are a leading supplier of open AI vision solutions. We help developers overcome the integration and production challenges of delivering edge-AI vision products through our expertise in custom hardware production, embedded software, IoT management, and cloud services.


Po Yuan

Johanna Shi

Timotei Redis

See Also

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