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AIStorm launches AI system-on-chip sensors for biometrics at the edge

Categories Biometric R&D  |  Biometrics News

AIStorm has followed up its recent funding announcement by launching its first system-on-a-chip (SoC) “AI-in-Sensor” products to provide edge processing for mobile devices, IoT systems and self-driving cars, SiliconANGLE reports. The company launched an SoC for mobile devices and wearables, and another for advanced driver-assistance systems at Mobile World Congress 2019 in Barcelona.

The edge artificial intelligence startup announced a $13.2 million Series A financing round with participation from biometric software provider Egis Technology earlier this month.

AIStorm’s low-power SoC technology performs AI information processing on raw analog data before encoding it into a digital format, allowing it to work at the network edge.

“By combining the processing chip with the sensor, we can deliver efficient and extremely fast processing of sensor data right at the edge,” David Schie, co-founder and chief executive officer of AIStorm, told SiliconANGLE. “This offers two huge benefits. It reduces response latency and it eliminates the need to send data over the network to a different processor for machine learning and decision making.”

The AIStorm IoT Vision and Waveform chips can be used for AI tasks including fingerprint sensing, facial recognition, gesture recognition, heart monitoring and ECG identification, voice input, occupancy sensing and image stabilization, according to the company.

Schie says in a statement that solutions using deep submicron GPU technology to accelerate AI at the edge do not meet the real-time processing, power, and cost requirements of applications.

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