A readily deployable plug-and-play edge ML device

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BrickML is a low-power high-performance self-contained embedded device designed to run machine learning operations at the edge in industry settings.

Specifically built to be plug-and-play, BrickML is quickly implemented. It includes on-board compute, sensing and communication capabilities, all packed in one compact industrial-grade dust and moisture resistant form factor. Connect it to motors, pumps, or other machinery to measure machine performance and create immediate actionable insights.

BrickML is fully integrated into Edge Impulse‘s industry-leading edge ML platform, allowing for the easy addition of advanced AI algorithms.
BrickML device minimizes development time and accelerates speed to market by providing customers with both a highly integrated flexible kit for custom development as well as ready-to-use trained edge ML models.

For additional information on Edge Impulse, the leading development platform for machine learning on edge devices, plase visit Edge Impulse website !

Key Features

  • 32-bit ARM® Cortex®-M33 core with FPU
  • 200 MHz clock speed
  • Up-to 2MB code flash memory, 8KB data flash and 512KB RAM
  • 128Mbit on-board serial flash
  • SD card storage
  • 32-bit ARM® Cortex®-M33 core with FPU
  • Bluetooth 5.1 core specification compliant BLE transceiver
  • USB 2.0 Full-Speed device connector
  • Expansion pinout: Ethernet 10/100, USB 2.0 High-Speed, CAN, LTE, UART, I2C, SPI
  • Sensors – Knowles SPH0641LU4H-1 microphone – Renesas HS3001 T/H – Bosch BNO055 9-DOF IM

Main Applications

  • Embedded Machine Learning
  • Inference at the Edge
  • Anomaly Detection
  • Voice and Sound Classification
  • Motor Current Signal Analysis
  • Environmental Condition Analysis
  • Connected Intelligent Sensors
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