Date: 13/02/2024

White paper on On-device Vibration Monitoring with Machine Learning

POLYN Technology made avaialable a white paper delving into the transformative potential of machine learning for on-device vibration monitoring in industrial devices and vehicles.

POLYN specializes in ultra-low-power, high-performance Neuromorphic Analog Signal Processing (NASP) technology, offers IP and Tiny AI chips based on NASP. Through their Neural-Net-To-Chip automation tools, POLYN empowers rapid and cost-effective development of application-specific solutions, enabling sensor data pre-processing directly on-device.

The white paper titled "Vibration Monitoring On-Device with Machine Learning," promises to illuminate the nuances of vibration data analysis in industrial and automotive environment so that it can done more effeciently using its AI silicon chip.

The white paper, titled “Vibration Monitoring On-Device with Machine Learning” is available for download at the POLYN website: https://polyn.ai/wp-content/uploads/2024/01/Vibration-White-Paper-light.pdf.

“Vibration analysis is vital to spotting equipment problems and defects and making repairs before failures occur,” said Eugene Zetserov, Vice President of Marketing and Business Development for POLYN. “Advancements in AI models, data processing and the availability of IIoT sensors enable valuable insights unlike anything we’ve seen before.”

He added, “The challenge is in processing the vibration data in a way that minimizes power and communication requirements. The solution is in on-device analysis with neural networks.”

Source: POLYN

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