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AONDevices in California has shipped engineering samples of its first chip, a dual core low power, always on edge AI processor.

The AON1100 is aimed at battery-powered always-on devices that need to support local wake words, voice commands, sound event detection, context detection, and sensor fusion at high accuracy.

The dual core AON1100 enables simultaneous, extremely accurate recognition of multiple voice commands and sound events – such as a baby crying or a car backfiring – using a single microphone. The chip simultaneously detects specific motion patterns, such as walking or falling. When used in phones, headsets, wearables, game controllers, vehicles, or smart home appliances, the AON1100 enables natural human-machine interface at the device level without sending any data to the cloud, improving the user experience and guaranteeing privacy.

The AON1100 features two cores, AONVoice and AONSens, which are based on the company’s proprietary neural network technology. The AONVoice core delivers 90 percent accuracy in 0 dB SNR conditions and integrates the front-end processing and all required memory while consuming less than 150µW proven in 40nm ULP silicon. This power is measured in 100 percent constant speech conditions.

 “The AON1100 is a testament to AONDevices’ unparalleled ability to innovate across algorithms, systems and silicon,” said Mouna Elkhatib, CEO of AONDevices. “We are engaged with several tier 1 customers in key markets. With engineering samples and development kits now available, we can support OEM customers looking for complete solutions that don’t sacrifice privacy or trade accuracy for power. In addition, we continue to enable key silicon partners and OEMs with IP core licenses. We are enabling a wide range of new voice, audio and sensor use cases – and we can’t wait to see what new capabilities our customers will bring to market next.”

AONDevices is a partner of the tinyML Foundation for edge AI applications. 

“At the tinyML Foundation, we envision this new world as having trillions of distributed intelligent devices enabled by energy-efficient machine learning technologies that sense, analyze and autonomously act together to create a healthier, more sustainable environment for all,” said Evgeni Gousev, senior director at Qualcomm and chairman, board of directors of the tinyML Foundation,

Engineering samples of the AON1100 chip are available now. AONVoice and AONSens cores are also available for licensing as IP cores for integration in an SoC to high-volume customers.

www.aondevices.com

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