Application-specific vibration pre-processing chip

 POLYN Technology has introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. VibroSense greatly reduces the amount of sensor data transmitted to the cloud, saving on power consumption and enabling energy-harvesting designs.

                                    

VibroSense extracts unique patterns from sensor’s raw signal and passes the valuable data only for classification at the next compute point. It smoothly and simply integrates into existing solutions to improve the ROI and OPEX of the deployment. It is particularly suited to Industry 4.0 applications.

“PdM solutions usually require cloud services and are resource-hungry,” said Eugene Zetserov, Vice President of Marketing for POLYN. “The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud

“VibroSense reduces the need for these resources through a thousandfold reduction of sensor data to be sent for analysis in the central cloud or at the edge.”                                   

#sensors#temperature#pressuresensors#wsn#wifi#gassensors#biosensors#vibrationsensors#humidtysensor#neuromorphic#parkingsensors#nanosensors#MOSsensors#wireless#transducer#measuring#sensing#WSN#detectors#thermistors#machinary#ulurasonic#proximitysensor#lightsensor#computer#imagesensor

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