The VibroSense chip is engineered to deliver ultra-low-power vibration analysis, making it invaluable for the Industrial IoT sector. By pre-processing vibration data at the sensor level, this chip significantly reduces the volume of data needed to be transmitted, stored, and analyzed, cutting down associated costs and enhancing operational efficiency.
Key applications of VibroSense include smart tire monitoring and machinery health diagnostics. For vehicle applications, it accurately detects road conditions and tire vibrations, contributing to improved safety and control. In industrial settings, it supports predictive maintenance by identifying potential machinery faults through vibration patterns, thus preventing costly downtimes.
The VibroSense chip shrinks large data sets into compact signatures that are easier to transmit over long distances via narrow-bandwidth networks, without losing the accuracy needed for effective monitoring. This neuromorphic approach simplifies the monitoring of complex systems, allowing for energy-efficient designs that bring inherent cost savings and infrastructure optimizations.
