RELOC Brick-ML Box

RELOC Brick-ML Box is a compact, low-power embedded board designed for high-performance machine learning at the edge. The RELOC Brick-ML can be directly mounted on various equipment types to gather data (vibrations, temperature, humidity, noise, voltage) for training specific AI models. Load pre-trained Edge ML models onto the device to detect specific events or states and transmit them via wired or wireless connections. Brick-ML includes onboard processing, sensing, and communication capabilities in a small form and seamlessly integrates with Edge Impulse’s top-notch Edge ML platform.

Features

  • 32-bit Arm® Cortex®-M33 core with FPU
  • 200MHz clock speed
  • Up to 2MB code flash memory, 8KB data flash, and 512KB RAM
  • BLUETOOTH® 5.1 core specification compliant BLE transceiver and link layer
  • 128Mbit onboard serial flash
  • Sensors 
    • Knowles SPH0641LU4H-1 microphone
    • Bosch BNO055 9-DOF IMU
    • Renesas HS3001 high-performance T/H sensor

Applications

  • Embedded machine learning
  • Inference at the edge
  • Gesture recognition
  • Voice and sound classification
  • Environmental conditions automatic analysis
  • Connected intelligent sensors

Specifications

  • Power supply
    • USB 5.0V
    • 12V÷24V (-1C/1E)
  • Operating temperature
    • -40°C to +85°C
  • Standby current
    • 1µA
  • Wireless connectivity
    • BLE 5.1 – output 2.2dBm
  • Wired connectivity
    • USB High-Speed
    • CAN (-1C / -1E)
    • Ethernet (-1E)
  • Expansion
    • Analog input (-1C / -1E)
  • Size (RD-BML-1x)
    • 89.0mm x 79.0mm x 33.0mm

Videos

RELOC Brick-ML Box