In-sensor intelligence
At echosonic by RECHO AI Inc., we are revolutionizing physical signal interpretation by bringing always-on time-series signal processing and Machine Learning locally inside MEMS sensors enabled by our innovative Reservoir Processing Unit (RPU).
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Low-power, low deployment cost and adaptability allow large deployment of real-time automatic decision making solution in IoT infrastructures and battery powered devices.
Applications
RPU's benefits
Our Story
We are a group of young and energetic physicists, computer scientists, mechanical engineers, and data scientists aiming to disrupt the edge AI market. With robust and continuous university collaborations and public-private cooperation, we are bringing the cutting-edge research of deep technology to human-centric machine learning and building a public forum for disseminating computational technologies.
Our Technology
Backed by the university research, echosonic exploits the dynamic mechanisms of MEMS sensors to enrich the signals with characteristic features for learning-based processing. The hardware/software processing pipeline can be deployed to edge sensors, eliminating privacy and security concern, and draws only 10% of power consumption compared to the legacy devices.
Low power consumption
Exceptional processing speed
Eliminates privacy and security concerns by processing signals internally on sensors​
Benefits
Reduce >90% in training effort and inferencing at ultra-low power
Privacy and security
Exceptional processing speed by avoiding latency in cloud-device data transferring