Eta Compute Introduces an Integrated, Ultra Low Power AI Sensor Board for Machine Learning at The Edge

June 23, 2020


With Eta Compute's low power ECM3532 AI Sensor Board, most functions needed, including data acquisition, are integrated onto a single board that functions for months on a single battery cell.

Eta Compute announced the debut of the first integrated, ultra-low power AI Sensor Board, the ECM3532 AI Sensor Board. According to the company, the board is designed for machine learning at the edge and reduces the initial phase of smart sensor development using its TENSAI SoC, including feasibility, proof of concept, and board design, from several months to weeks or even days.

With Eta Compute’s low power ECM3532 AI Sensor Board,  most functions needed, including data acquisition, are integrated onto a single board that functions for months on a single battery cell while performing machine learning algorithms.

The sensor board embeds two PDM microphones, one pressure and temperature sensor, and one 6-axis MEMS accelerometer and gyroscope. Its small form factor (1.4 inch x 1.4 inch), the embedded battery socket, and Bluetooth connectivity with the A31R118 from ABOV Semiconductor, make it an ideal asset for IoT deployment and field testing application prototypes. When needed, the board’s expansion connector simplifies the addition of other RF interfaces.

Eta Compute’s ECM3532 AI Sensor Board is optimal for implementing machine learning applications in IoT and low power edge devices including:

  • Voice activation and voice commands in consumer, home, and building automation products
  • Asset tracking and monitoring and predictive maintenance in industrial products
  • Context awareness in consumer and industrial applications

The company also announced it is hosting a free online workshop with Edge Impulse July 14, 2020. The first 50 qualified developers planning or working on projects will receive a complementary ECM3532 AI Sensor Board. Developers should apply on the Eta Compute web site here. The board can be purchased through Digikey.

For more information, visit:

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Tiera Oliver, editorial intern for Embedded Computing Design, is responsible for web content edits as well as newsletter updates. She also assists in news content as far as constructing and editing stories. Before interning for ECD, Tiera had recently graduated from Northern Arizona University where she received her B.A. in journalism and political science and worked as a news reporter for the university's student led newspaper, The Lumberjack.

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