The board was developed to cut the initial phase of smart sensor development through its TENSAI SoC. The low power ECM3532 AI Sensor Board contains almost every function needed for a working prototype. Because of the low power design, the board is able to for months on a single battery cell while performing machine learning algorithms. It integrates two PDM microphones, one pressure and temperature sensor, and one 6-axis MEMS accelerometer and gyroscope. It has a form factor of only 1.4 inch x 1.4 inch. The embedded battery socket and Bluetooth connectivity through ABOV Semiconductor’s A31R118 chip, makes it an ideal asset for IoT deployment and field testing application prototypes. The board’s expansion connector makes it simple to add other RF interfaces.
“Our fully integrated ECM3532 AI Sensor Board reduces risk, complexity, and costs for developers creating low power smart sensors and accelerates their time to proof of concept,” said Ted Tewksbury, CEO of Eta Compute. “For the first time, they can rely on a single, fully integrated board complemented by Edge Impulse’s comprehensive SaaS development platform to drive innovative IoT solutions to market.”
“Designing low-power devices with embedded machine learning has been a huge challenge,” said Zach Shelby, CEO of Edge Impulse. “The new Eta Compute AI Sensor Board opens up endless application possibilities for developers without compromising on power consumption, and with full support on Edge Impulse we reduce development time to days instead of months.”
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 board can be purchased through Digikey.
The company also announced it is hosting a free online workshop with Edge Impulse on July 14, 2020. The first 50 qualified developers planning or working on projects will receive a complementary ECM3532 AI Sensor Board.
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