{"product_id":"intel-movidius-ma245x-ai-kit-compatible-with-intel-movidius-stick","title":"Intel Movidius MA245X AI Kit Compatible with Intel Movidius Stick","description":"\u003cmeta name=\"description\" content=\"Buy Intel Movidius MA245X AI Kit Compatible with Intel Movidius Stick online in India at best price from The Engineer Store, Bengaluru. Authentic product, 7-day warranty on manufacturing defects, fast delivery across India.\"\u003e\n\n\u003ch1\u003eIntel Movidius MA245X AI Kit Compatible with Intel Movidius Stick\u003c\/h1\u003e\n\n\u003cp\u003eThe Intel Movidius MA245X AI Kit is a comprehensive development platform designed for edge AI and deep learning inference applications, featuring the Myriad X Vision Processing Unit (VPU) architecture. Machine learning engineers, computer vision developers, and embedded systems professionals use this kit to prototype and deploy neural network models at the edge with ultra-low power consumption. This solution solves the critical challenge of running complex AI inference tasks on resource-constrained devices without relying on cloud connectivity, enabling real-time processing with latencies under 100 milliseconds.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\u003cp\u003eThe Intel Movidius MA245X AI Kit leverages the Myriad X VPU, which contains 16 specialized neural compute engines capable of executing multiple deep learning frameworks including TensorFlow, Caffe, and MXNet. The architecture utilizes a heterogeneous computing approach with dedicated hardware accelerators for convolution operations, pooling, and activation functions, delivering up to 4 TOPS (Tera Operations Per Second) of peak performance while consuming less than 1 watt of power. The kit includes the Intel Movidius Neural Compute Stick 2 or compatible hardware, development software, pre-optimized models, and comprehensive documentation for rapid prototyping and deployment cycles.\u003c\/p\u003e\n\n\u003cp\u003eThis platform excels in scenarios requiring distributed edge intelligence across IoT networks, autonomous systems, and embedded vision applications. The Myriad X VPU supports INT8 quantization for model compression, reducing inference latency by up to 50 percent compared to floating-point implementations. The MA245X kit comes pre-configured with optimized libraries and APIs that abstract the complexity of VPU programming, allowing developers to focus on model optimization rather than low-level hardware management. Its compatibility with standard development environments like OpenVINO toolkit ensures seamless integration into existing machine learning pipelines.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAI Development Kit with Vision Processing Unit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eIntel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e7 days on manufacturing defects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003e1-5 days from Bengaluru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelivery\u003c\/td\u003e\n\u003ctd\u003e7-8 days across India\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003e24\/7 via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVPU Architecture\u003c\/td\u003e\n\u003ctd\u003eMyriad X with 16 Neural Compute Engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeak Performance\u003c\/td\u003e\n\u003ctd\u003e4 TOPS (INT8 quantized models)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eLess than 1 watt typical operation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupported Frameworks\u003c\/td\u003e\n\u003ctd\u003eTensorFlow, Caffe, MXNet, ONNX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd\u003e2 MB on-chip SRAM, external DRAM support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003eUSB 3.0 interface for host communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e16 Specialized Neural Compute Engines delivering 4 TOPS peak performance for real-time AI inference at the edge without cloud dependency\u003c\/li\u003e\n\u003cli\u003eUltra-Low Power Design consuming less than 1 watt enabling deployment in battery-powered IoT devices and mobile platforms\u003c\/li\u003e\n\u003cli\u003eINT8 Quantization Support reducing model size by 75 percent and inference latency by 50 percent while maintaining accuracy\u003c\/li\u003e\n\u003cli\u003eMulti-Framework Compatibility supporting TensorFlow, Caffe, MXNet, and ONNX models through OpenVINO toolkit integration\u003c\/li\u003e\n\u003cli\u003eDedicated Hardware Accelerators for convolution, pooling, and activation functions optimized for computer vision workloads\u003c\/li\u003e\n\u003cli\u003eComprehensive Development Kit including pre-optimized models, sample code, and detailed API documentation for rapid prototyping\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eReal-Time Object Detection and Tracking in surveillance systems using YOLO or SSD models with sub-100ms latency for security applications\u003c\/li\u003e\n\u003cli\u003eAutonomous Mobile Robotics for obstacle avoidance and navigation using stereo vision processing on resource-constrained platforms\u003c\/li\u003e\n\u003cli\u003eIndustrial Defect Detection on production lines enabling automated quality control with edge inference eliminating network latency\u003c\/li\u003e\n\u003cli\u003eSmart City IoT Deployments for people counting, crowd monitoring, and anomaly detection across distributed edge nodes\u003c\/li\u003e\n\u003cli\u003eMedical Imaging Analysis for portable diagnostic devices requiring real-time inference on embedded hardware without cloud connectivity\u003c\/li\u003e\n\u003cli\u003eDrone and UAV Applications for autonomous flight control, target recognition, and environmental mapping with onboard processing\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\u003cp\u003eBegin by installing the OpenVINO toolkit on your development machine (Windows, Linux, or macOS) and connecting the Intel Movidius Stick via USB 3.0 port. Download the pre-trained model zoo from Intel's repository or convert your existing TensorFlow or Caffe model using the Model Optimizer tool, which performs quantization and layer fusion to optimize for the Myriad X architecture. Load the optimized model using the Inference Engine API, configure input\/output layers, and execute inference through the VPU by specifying the device plugin as MYRIAD in your application code.\u003c\/p\u003e\n\n\u003cp\u003eFor advanced optimization, profile your model using the built-in performance metrics to identify bottlenecks and apply layer-specific tuning. The kit includes sample applications for image classification, object detection, and pose estimation that demonstrate best practices for batch processing, memory management, and latency optimization. Leverage the provided Python and C++ APIs to integrate the inference pipeline into your embedded application, and utilize the debugging tools to monitor power consumption and thermal characteristics during development and deployment phases.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the difference between the Movidius Stick and the MA245X kit?\u003c\/summary\u003e\n\u003cp\u003eThe Movidius Stick is the hardware accelerator device itself, while the MA245X kit is a comprehensive development package that includes the stick, OpenVINO toolkit, pre-optimized models, sample code, documentation, and technical support. The kit provides everything needed for rapid prototyping and deployment, whereas the stick alone requires separate software setup and model optimization.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCan I use the MA245X kit with Raspberry Pi or Jetson Nano?\u003c\/summary\u003e\n\u003cp\u003eYes, the Intel Movidius Stick connects via USB 3.0 to any host device including Raspberry Pi 4, Jetson Nano, and standard desktop computers. However, ensure your host device has sufficient USB 3.0 bandwidth and computational resources to prepare models and manage the inference pipeline. For Raspberry Pi, use USB 3.0 hubs for optimal performance.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat model accuracy loss occurs with INT8 quantization?\u003c\/summary\u003e\n\u003cp\u003eINT8 quantization typically results in 1-3 percent accuracy loss for well-trained models, though this varies by architecture and dataset. The MA245X kit includes quantization-aware training tools and calibration datasets to minimize accuracy degradation. For sensitive applications, use mixed-precision approaches combining INT8 and FP16 layers to balance performance and accuracy.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eIs the MA245X kit compatible with custom neural network architectures?\u003c\/summary\u003e\n\u003cp\u003eYes, the kit supports any model built in TensorFlow, Caffe, MXNet, or ONNX formats. Custom architectures must be converted using the OpenVINO Model Optimizer, which validates layer compatibility with the Myriad X VPU. Some custom operations may require fallback to CPU execution, reducing overall performance.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\u003cp\u003eOrders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eWe offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003ch2\u003eWhy Buy from The Engineer Store\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eGenuine Products: Sourced directly from authorized distributors with authentication\u003c\/li\u003e\n\u003cli\u003eExpert Team: Our technical team validates every product before listing\u003c\/li\u003e\n\u003cli\u003eFast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse\u003c\/li\u003e\n\u003cli\u003ePan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata\u003c\/li\u003e\n\u003cli\u003ePayment Options: COD, UPI, credit\/debit cards, net banking, EMI available\u003c\/li\u003e\n\u003cli\u003eTechnical Support: 24\/7 expert guidance via email and WhatsApp\u003c\/li\u003e\n\u003cli\u003eReturns: 7-day return policy on manufacturing defects only\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eBuy Intel Movidius MA245X AI Kit Compatible with Intel Movidius Stick Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the \u003cstrong\u003eIntel Movidius MA245X AI Kit Compatible with Intel Movidius Stick\u003c\/strong\u003e online at \u003ca href=\"https:\/\/theengineerstore.in\"\u003eThe Engineer Store\u003c\/a\u003e, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on \u003cstrong\u003eIntel Movidius MA245X AI Kit Compatible with Intel Movidius Stick\u003c\/strong\u003e with fast shipping and expert support.\u003c\/p\u003e\n\u003cp\u003eOur team in Bengaluru is available 24\/7 to support your journey from product selection to project completion.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":43856803692707,"sku":"TES-EV00082070","price":15174.48,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0628\/4479\/7091\/products\/horned_sungem-11-228x228.jpg?v=1704280774","url":"https:\/\/www.theengineerstore.in\/zh-hans\/products\/intel-movidius-ma245x-ai-kit-compatible-with-intel-movidius-stick","provider":"The Engineer Store","version":"1.0","type":"link"}