EyeCloudAI CDK

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

This project is coming soon. Sign up to receive updates and be notified when this project launches.

EyeCloudAI CDK is an open source edge-AI camera development kit for applications where privacy, real-time performance, reliability, and flexibility are paramount. With EyeCloudAI CDK, developing and deploying a custom edge-AI camera solution easy — we’ve taken care of the AI optimization, sensor tuning, optics, tooling, and supply chain management so you can focus on your application.

One Core Board, Three ISP-ready Sensor Modules

The Core Board is based on an Intel Movidius Myriad X VPU and is compatible with the Intel Distribution of OpenVINO ToolKit. Pair a Core Board with any of three image signal processor (ISP)-ready sensor modules: a 2 MP rolling shutter module for normal applications, an 8 MP rolling shutter module for high-resolution applications, and a 2 MP global shutter module (based on the ON Semi AR0234) for high-speed applications.

A fully assembled EyeCloud CDK system with sensor board and core board with eMMC

Use Cases for EyeCloudAI CDK

Car detection & license plate recognition

Optical character recognition

Pet detection & monitoring

Video conference tracking & zooming

Features & Specifications

Core Board

Core Board
VPUIntel Movidius Myriad X MA2085
Vector Processors16 SHAVEs
Vision Accelerators20+
Neural Network CapabilityTwo neural compute engines (up to 4 TOPS)
RAM8 Gbits, LPDDR4 (1600 MHz, 32-bit)
Power Supply5V / 2A
Input Data InterfaceMIPI 4 lane
Output Data InterfaceUSB 3.0 / USB 2.0 (selectable with cable orientation)
Expansion InterfacesGPIO, I²C, SPI, SD/SDIO, UART, 2 x two-lane DSI (up to 2.5 Gbps per lane)
Dimensions38 mm x 38 mm
Weight9 g
Cable30 cm USB Type-C

Sensor Modules

2MRS Sensor Module2MGS Sensor Module8MRS Sensor Module
Summary2 Megapixel Rolling Shutter2 Megapixel Global Shutter8 Megapixel Rolling Shutter
SensorSmartSens SC200AION Semi AR0234CSSmartSens SC8238H
Resolution1920 x 1080 (2K)1920 × 1080 (2K)3872 × 2180 (4K)
Frame Rate30 fps120 fps @ 1 MP, 60 fps @ 2 MP30 fps
Field of ViewDiagonal 60°Diagonal 63°Diagonal 58°
Output Data InterfaceMIPI 2 laneMIPI 4 laneMIPI 4 lane
Dimensions38 mm x 38 mm38 mm x 38 mm38 mm x 38 mm
Weight12 g12 g12 g
Cable4 cm FFC4 cm FFC4 cm FFC


EyeCloudAI CDK works with Intel’s distribution of OpenVINO ToolKit and is compatible with frameworks such as ONNX, TensorFlow, Caffee, MXNet, Kaldi, and PaddlePaddle. The SDK is compatible with Raspberry Pi flavors of Linux for ARMv7 and ARMv8.

Support & Documentation


See Also

Subscribe to the Crowd Supply newsletter, highlighting the latest creators and projects: