功能强大的神经计算板，是英特尔神经计算Stick2（NCS2）的完整开源替代品
Hi everyone! Today we'd like to introduce an MP-friendly neural computing board for edge-ai projects. You can use it as an Intel's NCS2. It will be launched on Crowd Supply, you can sign up to be notified when this campaign launches, and to get any other useful updates, right at the top of this page.
OpenNCC NCB is an accelerated AI reference platform designed and manufactured by EyeCloud.AI for edge-ai applications. It is a complete, open-source replacement for Intel’s Neural Compute Stick2 (NCS2). It comes in two variants, a USB version, and an FPC version.
The NCB is built with Movidius Myriad X VPU, Intel’s first VPU to feature the Neural Compute Engine - a dedicated hardware accelerator for deep neural network inference. The Neural Compute Engine, in conjunction with the 16 powerful SHAVE cores and high throughput intelligent memory fabric, makes Intel Movidius Myriad X ideal for on-device deep neural networks and computer vision applications. The natively supported Intel® distribution of the OpenVINO™ toolkit automatically maximizes the inference performance.
How OpenNCC NCB replaces the Intel NCS2
OpenNCC NCB functions as the Intel NCS2 with a host machine. The Host App on the Host Machine obtains the video stream (local file, IPC, webcam, or V4L2 Mipi CAM for example) from the outside, configures the preprocessing module according to the resolution and format of the input file of the reasoning model, then sends the visual stream to the OpenNCC NCB through the OpenNCC Native SDK for reasoning and returns the reasoning results. The reasoning supports asynchronous and synchronous modes. The reasoning pipeline on OpenNCC SoM is configured through OpenNCC model JSON.
OpenNCC NCB can support up to a 6-way reasoning pipeline configuration locally, and a 2-way pipeline can run concurrently in real-time. Users can realize multi-level chain or multi-model concurrency of reasoning through intermediate processing of the Host App. OpenNCC NCB can also work with multiples of itself. Users can expand the number of NCB according to their computing power needs, and the SDK will dynamically allocate computing power.
Features & Specifications
VPU: Intel Movidius Myriad X MV2085
Vector Processors: 16 SHAVEs
Vision Accelerators: 20+
Neural Network Capability: Two Neural Compute Engines (Up to 4 TOPS)
RAM: 8 Gb, LPDDR4 (1600 MHz, 32-bit)
Power Supply: 5 V / 2 A
Data Interface: USB 3.0 / USB 2.0 with USB Type-C OR USB 2.0 with FPC
Dimensions: 1.5" x 1.5" (38 mm x 38 mm)
Board Weight: 0.02 lbs (9 g)
Supports working with Arm Linux SoCs and Raspberry Pi boards
Supports on-board inference AI models
Compatible with Intel's Distribution of OpenVINO (Verison 2020.3，2021.4)
Openness
We are happy to provide open hardware board schematics and open software in the form of OpenVINO and OpenNCC Frame.
Interested in This Project?
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