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IoT & IndustrialEnergy
VibeSense
AI Smart Vibration Sensor based on STM32L4
Industrial vibration sensor that detects motor bearing faults weeks before catastrophic failure using edge AI.
FFT Bins
1600
Failure Warning
14 Days Advance
VibeSense
Client
An industrial IoT company providing predictive maintenance solutions for manufacturing plants with legacy rotating machinery.
Challenge
Reliably detecting early-stage bearing faults in motors running at 300-3000 RPM, distinguishing fault signatures from normal vibration noise, and estimating remaining useful life on an MCU.
Product Concept & Architecture
The STM32L4 ultra-low-power MCU reads a 200g-range ADXL372 accelerometer at 25.6kHz. FFT processing extracts vibration spectra. A Quectel BG96 LTE modem provides cellular backhaul.
Engineering Solution
The STM32L4's hardware DSP and CORDIC accelerator compute 1600-bin FFTs from 1-second vibration windows. A feature extraction pipeline identifies bearing fault frequencies (ball-pass, cage, outer/inner race) and their harmonics. A TinyML gradient-boosting model maps these features to a health index and remaining useful life estimate.
Result
14-day advance warning of bearing failure (91% precision). <1% false positive rate. 3-year battery life.
Deep Tech FAQ
What makes the AI Smart Vibration Sensor based on STM32L4 unique?+
The AI Smart Vibration Sensor based on STM32L4 leverages custom hardware and edge AI to deliver industry-leading performance and efficiency.
What are the core technical benefits?+
Key benefits include low power consumption, real-time processing, robust connectivity, and a compact form factor tailored for deployment.
Can this architecture be adapted for other use cases?+
Absolutely. The underlying methodology is modular and can be retargeted for various applications with minimal redesign.
Project Profile
Services Delivered
Hardware DesignEmbedded SoftwareRF Design
Core Technologies
LTE-M/NB-IoTTinyMLZephyr RTOS
Silicon & Vendors
STMicroelectronicsAnalog Devices
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