Trina-Pi
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Trina-Pi

Trina-Pi is a ready-to-use evaluation board based on the ultra-low-power UP201 RISC-V microcontroller. Trina-Pi is centered on ultra-low power operation. Its powerful energy efficiency makes it ideal for continuous, always-on detection and monitoring tasks. This includes serving as a detection platform for applications such as AI wearable devices, sensor fusion, and power-sensitive edge AI processing. The board supports numerous popular libraries and provides a comprehensive SDK and tools, ensuring that makers and developers can start quickly and easily.

Key Features

  • Ultra-Low Power design based on the UP201 RISC-V MCU.
    • Dual heterogeneous cores for efficient computing.
    • Dual integrated NPUs for AI acceleration.
  • High power efficiency:
    • Only 16.88 uW/MHz/DMIPS in active mode (E21 Core, Coremark).
    • Can save up to 68% energy compared with pioneer competitors at the same performance level.
  • Supports development environment setup on both Windows and Linux platforms.

Application

  • Endpoint AIoT device
  • Endpoint AI wearable device
  • Battery powered robotic sensor fusion and control
  • Drone sensor fusion and flight control
  • Power-sensitive edge AI processing

Specifications

Size

  • 31mm x 61mm

Power Source

  • USB Type-C

Connectivity

  • USB Type-C connection

Memory

  • Flash Size: 2MB
  • Flash Bus Width: 4 Bit

I/O Pins and Interfaces

  • Communication Interfaces
    • 2x UART
    • 5x I2C
    • 3x SPI
    • 1x PDM
    • 1x I2S
  • Control and Sensing
    • 2x ADC (12-bit resolution)
    • 2x PWM
    • 20x GPIO
    • Built-in battery voltage detection: supports 3.0V to 4.2V
  • Display Interface
    • 1x SPI

Software Ecosystem

  • A complete SDK with various demo projects to help developers start quickly.
  • Integrated Development Environment (IDE) / Development Method: Development and flashing procedures can be completed using the VSCode Interface or the Command Line.
  • Development setup is provided for Windows and Linux.
  • Supports useful libraries / frameworks:
    • CMSIS-DSP
    • CMSIS-NN
    • LiteRT
    • LVGL
  • Supported Operating Systems (OS):
    • FreeRTOS
    • Zephyr
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