SPIDER Automation Intel Neural Compute Stick 2 | AI & Computer Vision Accelerator | Movidius Myriad X VPU
Description
The SPIDER Automation Intel Neural Compute Stick 2 (Intel NCS 2) is a breakthrough edge AI development kit engineered to bring advanced computer vision and deep learning capabilities to Internet of Things (IoT) prototypes. Looking like a standard USB thumb drive on the outside, it houses the sophisticated Intel Movidius Myriad X VPU inside—making it the first in its class to feature a dedicated hardware neural compute engine for high-speed neural network inference.
Designed for developers working on smart cameras, autonomous drones, industrial robotics, and smart home devices, the Intel NCS 2 plugs directly into any standard USB 3.0 port on a laptop or single-board computer. Requiring no additional external hardware or internet connection, it allows developers to seamlessly convert PC-trained models and deploy them natively at the edge. Supported by the robust Intel Distribution of OpenVINO toolkit, the NCS 2 accelerates solution development, increases productivity, and streamlines the path from prototype to production.
Key Features
- Advanced Movidius Myriad X VPU: Features 16 powerful SHAVE processing cores and an ultrahigh-throughput intelligent memory fabric.
- Dedicated Neural Compute Engine: Industry-first onboard hardware accelerator built specifically for deep neural network (DNN) inferencing.
- Massive Performance Gains: Delivers up to 4 trillion operations per second with an 8X performance boost compared to previous generations.
- OpenVINO Toolkit Integration: Accelerates deep learning workloads and simplifies multiplatform deployment across Intel CPUs, VPUs, and FPGAs.
- Plug-and-Play USB 3.0 Simplicity: Operates natively on any laptop or platform with a USB port without cloud computing dependence.
- Fanless Energy Efficiency: Exceptional performance-per-watt architecture enables efficient thermal operation directly at the edge.
Benefits
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- Accelerates Time to Market: Drastically reduces the time required to prototype, tune, and deploy neural networks at a low cost.
- Ensures Complete Data Privacy: Runs machine vision models locally at the edge without relying on external cloud connections or internet bandwidth.
- Simplifies Cross-Platform Scaling: Develop models once using supported frameworks like TensorFlow or Caffe and deploy them across diverse hardware form factors.
- Enhances Prototyping Flexibility: Portable USB thumb-drive footprint lets you test and debug computer vision applications anywhere.
Applications
- Smart Surveillance & Cameras: Implementing real-time object detection, facial recognition, and automated threat monitoring.
- Autonomous Robotics & Drones: Enabling onboard visual navigation, obstacle avoidance, and real-time environmental analysis.
- Industrial IoT & Automation: Building machine vision systems for automated quality control, defect detection, and sorting lines.
- Smart Home Appliances: Developing intelligent consumer electronics capable of interpreting human gestures and visual commands.
- Edge AI Research & Education: Teaching and testing deep learning neural network models in university laboratories and maker spaces.
Package Includes
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- 1 x Intel Movidious Neural Compute Stick 2
Technical Specifications
| Item Classification | USB AI & Computer Vision Accelerator / Processing Module |
| Brand / Series | SPIDER Automation (Intel Compatible AI Line) |
| Core Processor VPU | Intel Movidius Myriad X VPU (with 16 SHAVE Cores & Neural Compute Engine) |
| RAM Capacity & Type | 1GB Onboard RAM Memory |
| Free Storage Space Required | 4GB (for software toolkits and model storage) |
| Supported AI Frameworks | TensorFlow, Caffe, & Compatible OpenVINO Networks |
| Host Connector Interface | USB 3.0 Type-A Plug (Plug-and-Play) |
| Operating Temperature Range | 0°C to 40°C |
| Physical Dimensions (L x W x H) | 73 mm × 27 mm × 14 mm |
| Gross Shipping Weight | Approx. 0.03 kg |
| Package Shipping Dimensions | 7 cm × 6 cm × 6 cm |
| Included Hardware Components | 1x Intel Neural Compute Stick 2 Unit |
