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Edge AIChips & modules

Aspinity

Analog machine learning chips that classify sensor data before it is digitized

Aspinity develops analog machine learning processors based on its reconfigurable analog signal processing architecture. The AML100 chip analyzes raw microphone, accelerometer or vibration signals while the rest of the system sleeps and wakes the main processor only when an event such as glass breaking, a voice or a machine fault is detected. Target customers build smart home sensors, security devices, industrial monitors and battery-powered consumer products.

Focus: analog ml processors, sensor wake-up.

Tags: analog ai · sensor processing · always-on · smart home · condition monitoring

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