Transmitting raw high-frequency vibration streams over wireless networks consumes immense radio power...
Edge AI
Predictive Machinery Maintenance
Client: Heavy Machinery Manufacturing Group
TinyML Predictive Vibration Sensor
Battery-powered wireless sensor node executing quantized neural networks directly on a low-power Cortex-M4 core. Samples 3-axis high-g accelerations up to 6.4 kHz to detect bearing race spalling, shaft unbalance, and cavitation in industrial pumps.
Nordic nRF52840
BLE 5.3
TensorFlow Lite Micro
3-Axis MEMS 16g
Zephyr RTOS
Battery Life
5+ Years
Sampling Rate
6.4 kHz
Model Size
24 KB (Int8)
Inference Time
18 ms
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