Description

 

D-Robotics RDK X5 – 8GB AI & Robotics Development Board in Paskiatan

The D-Robotics RDK X5 is a high-performance AI & robotics development board designed for edge AI inference, computer vision, and intelligent robotic systems. Built around a powerful ARM CPU combined with a dedicated AI NPU, the RDK X5 delivers efficient real-time inference while maintaining low power consumption—making it ideal for embedded and industrial deployments.

The 8GB LPDDR4 memory variant is optimized for multi-model AI workloads, high-resolution image processing, and concurrent robotics control tasks. With rich I/O, camera interfaces, and Linux support, the RDK X5 serves as a strong alternative to NVIDIA Jetson Nano and high-end Raspberry Pi boards for developers who need on-device AI acceleration.

CLICK ON LINK FOR MORE DETAILS 

https://developer.d-robotics.cc/rdk_doc/en/Quick_start/hardware_introduction/rdk_x5/

RDK-X5
rdk-X5 pinout

Technical Specifications

 Core Hardware

  • Processor: ARM multi-core SoC (64-bit)

  • AI Accelerator: Integrated NPU (Neural Processing Unit)

  • AI Performance: Optimized for real-time edge inference

  • Memory: 8GB LPDDR4

  • Storage:

    • microSD card slot

    • eMMC support (model-dependent)


 AI & Vision Capabilities

  • Hardware-accelerated CNN inference

  • Optimized for:

    • Object detection

    • Face recognition

    • Image classification

    • Video analytics

  • Supports multi-camera vision pipelines

  • Suitable for robot perception & navigation


 Interfaces & Connectivity

  • USB:

    • USB 3.0 (high-speed peripherals)

    • USB 2.0

  • Display: HDMI output (up to Full HD / 4K depending on pipeline)

  • Camera: MIPI-CSI camera interface

  • Networking: Gigabit Ethernet

  • GPIO: Multi-purpose GPIO header (robot control, sensors)

  • Serial: UART, I²C, SPI

  • Power: DC input (external adapter required)


 Software Support

  • Operating System: Linux (Ubuntu-based)

  • AI Frameworks:

    • TensorFlow Lite

    • ONNX Runtime

    • OpenCV

  • Development Languages:

    • Python

    • C / C++

  • Toolchains: Cross-compile & native build supported

 Use Cases & Applications

  •  Autonomous robots (AMR / AGV)

  •  AI smart cameras & surveillance

  •  Robotics vision & SLAM

  •  Edge AI inference systems

  •  Industrial automation

  •  AI research & prototyping

  •  IoT + AI gateways

 

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