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Low-Power AI Sensor Board Targets Edge ML

Eta Compute has announced what it claims is the first integrated, ultra-low power AI Sensor Board, the ECM3532 AI Sensor Board. The company designed the board specifically for machine learning at the edge. Embedded system developers can reduce the initial phase of smart sensor development from several months to weeks or even days using the board’s TENSAI SoC.

Previously, smart sensor design required developers to kluge multiple power-hungry boards together, says Eta Compute. With the ECM3532 AI Sensor Board, virtually every function needed, including data acquisition, is integrated into a single board that functions for months on a single battery cell while performing machine learning algorithms. It embeds two PDM microphones, one pressure and temperature sensor and one 6-axis MEMS accelerometer and gyroscope. Its small form factor (1.4” x 1.4”), the embedded battery socket and Bluetooth connectivity with the A31R118 from ABOV Semiconductor, make it well suited for IoT deployment and field-testing application prototypes. When needed, the board’s expansion connector simplifies the addition of other RF interfaces.

Eta Compute says its ECM3532 AI Sensor Board is suited 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 Digi-Key.

Eta Compute | www.etacompute.com


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