Embedded AI-Enabled Development Platform & Wireless Communication Modules

SPECIFICATIONS

Processing Unit

  • MCU: STM32N657X0.
  • CPU: Dual-core Arm® Cortex®-M7 (480 MHz) + Cortex®-M4 (240 MHz).
  • DSP & AI Acceleration:
  • FPU (Floating Point Unit) for high-speed DSP computations.
  • CMSIS-DSP and CMSIS-NN support for machine learning.
  • TensorFlow Lite for Microcontrollers compatibility.
  • Memory & Storage
  • RAM: 1MB SRAM + 512KB TCM (Tightly Coupled Memory).
  • Flash Storage: 2MB embedded Flash.
  • External Storage: Micro SD card slot, QSPI NOR Flash (128MB).

Connectivity

  • Ethernet: 10/100 Mbps.
  • Ethernet with hardware TCP/IP.
  • Wi-Fi & Bluetooth: External module support via UART/SPI.
  • USB Ports:
  • 1x USB 2.0 OTG (Host/Device).
  • 2x USB 2.0 Host Type-A.
  • CAN Bus: 2x CAN FD for automotive/industrial applications.
  • UART, I2C, SPI, GPIO: Multiple I/O interfaces.

Display & Camera Interface

  • Display Output: MIPI DSI for LCD (Optional Display Panel).
  • Camera Interface: MIPI CSI-2 (Supports up to 2 cameras simultaneously).

Expansion & I/O

  • GPIO Header: 40-pin expansion connector (Raspberry Pi HAT compatible).
  • STMod+ Connector: Supports additional sensor modules.
  • PCIe Expansion: M.2 Key E for Wi-Fi/Bluetooth modules.

Power Supply & Efficiency

  • Input Power: 5V/3A via USB-C or external power supply.
  • Low-power modes: Dynamic voltage scaling, deep sleep mode.

Operating Environment

  • Temperature Range: -40°C to +85°C (Industrial-grade).
  • Cooling: Passive heat sink, supports active cooling fan.

Operating System & Software Support

  • OS Support: Bare Metal, FreeRTOS, Zephyr RTOS.
  • DSP & Edge AI Support: TensorFlow Lite, CMSIS-DSP, CMSIS-NN.
  • Programming Languages: C, C++, Python, MATLAB.
  • Security Features: Secure boot, Trust Zone, AES encryption.

Controller & Programming Environment

  • Software Development Kit: STM32CubeMX, STM32Cube.AI, FreeRTOS, Zephyr.
  • Programming Languages: C, C++, Python.
  • Real-time Processing: Cortex-M4 for low-latency DSP tasks.
  • Machine Learning Support: TensorFlow Lite, Edge Impulse.
  • Industrial Protocols: Modbus, CAN FD, RS-485, Ethernet TCP/IP.

Additional Components & Accessories

  • Pre-installed Display Panel: MIPI DSI touchscreen LCD.
  • Onboard Audio Codec: Stereo.
  • DAC for audio processing.
  • Expansion Modules: STMod+ for additional peripherals (Wi-Fi, sensors).
  • Debugging Support: JTAG/SWD, ST-Link interface Wi-Fi/BLE Module.
  • Ultra-Low Power Consumption: Designed for battery-powered IoT devices, ensuring extended battery life.
  • Integrated SoCs:
  • DA16200: Handles Wi-Fi connectivity with low power requirements.
  • DA14531: Manages Bluetooth LE operations efficiently.
  • Pmod Interface Compatibility: Easily integrates with various development platforms that support the Pmod standard.
  • Coexistence and Provisioning: Features seamless Wi-Fi/Bluetooth LE coexistence and supports Wi-Fi provisioning through the Bluetooth LE connection.

Applications & Experiments

  1. AI-based Voice Recognition using MFCC.
  2. AI-powered Edge Vision Processing.
  3. AI-based people counting and tracking.
  4. AI-based detection of exoskeleton movement.

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