POLYN Technology announced VibroSense for Tire Monitoring, which enables reliable tire vibration analysis provided by deep neural networks.
POLYN is a fabless semiconductor company providing application-specific Neuromorphic Analog Signal Processing (NASP) technology and Neuromorphic Front-End (NFE) chips for always-on sensor-level solutions.
The new solution uses NASP technology to take sensor data and provide reliable tire vibration analysis via deep neural networks as it minimizes the time involved in processing and analysis. It allows assessments of road and tire conditions in microseconds.
VibroSense extracts unique vibration patterns from the sensor’s raw signal and passes the valuable data only for classification at the next compute point, saving power consumption for Tire Monitoring Systems (TMS).
“The Tire Monitoring application of VibroSense has shown high performance, around 95% accuracy in detecting road conditions. VibroSense can be used in many ways. For example, to obtain tire wear data or indicate wheel imbalance issues, to avoid fuel inefficiency,” said Eugene Zetserov, POLYN Vice President of Marketing and Business Development. “VibroSense demonstrates how NASP can be applied locally to signal data to efficiently provide real-time critical information to various systems and services.”
“POLYN is working with several tire makers on proofs of concept and with sensor node manufacturers, to incorporate VibroSense in new-generation TMS nodes,” Zetserov added.