ECM3532 AI Sensor Board

ECM3532 AI Sensor Board

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Ultra Low Power Sensor Board for Artificial Intelligence at the Edge.

The ECM3532 AI Sensor board is an ultra-low power AI platform with sensors that can run many algorithms: sound classification, keyword spotting, activity classification, context awareness, defect detection and others.

It showcases the capabilities of the ECM3532 Neural Sensor Processor built with Eta Compute’s patented self-timed continuous voltage and frequency scaling technology (CVFS) producing the lowest energy for inference for machine learning algorithms.

Features

  • 1.4 x1.4-inch board with sensors and ECM3532 Neural Sensor Processor
    • 2 x PDM MEMS Microphones: TDK-Invensense ICS-41350
    • 1 x Pressure/Temperature sensor: BOSCH BMP388
    • 1 x 6-axis MEMS Accel/Gyro: TDK-Invensense ICM-20602
  • Battery cradle for CR2032 battery
  • Bluetooth Low Energy on board: BLE v4.2: ABOV A31R118 and antenna
  • Extension for other types of RF through Micro SD card slot
  • 6 pin UART and power port
  • 64Mbit serial Flash for datalogging
  • 5 LEDs and push button

Getting Started

Users can best experience the versatility of the ECM3532 AI Sensor board in minutes by using Edge Impulse’s TinyML development pipeline and the 6 pin UART port.

See here for a tutorial how to use the board with Edge Impulse: https://docs.edgeimpulse.com/docs/eta-compute-ecm3532-ai-sensor

About mixos

Mike is the founder and editor of Electronics-Lab.com, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)

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