EdgePredict-Q: Advanced AI Sensor Fusion for Motor Health

EdgePredict can evolve into a universal, low-cost vibration monitoring system applicable to any equipment with motors. Its affordability and scalability make it ideal for predictive maintenance across multiple industries.
Why Sensors Are Extremely Cheap
- Uses IP68 encapsulated accelerometers (e.g., ADXL345, MPU-6050).
- Cost range: US$ 15–30 per sensor.
- Easy integration with Arduino or ESP32 via I²C/SPI.
- Durable and suitable for harsh environments.
Technical Concept
EdgePredict leverages AI and Intel OpenVINO for predictive analysis of vibration patterns, detecting anomalies such as wear and misalignment in real time.
Industrial Applications
- Intelligent Monitoring of Cutting Tools: Predict wear and reduce waste.
- Prevention of Failures in Hydraulic and Pneumatic Pumps: Detects cavitation and internal wear.
- Monitoring of Industrial Robots and Cobots: Identify anomalous microvibrations.
- Quality Control in 3D Printing: Reduce defective parts.
- Monitoring of Wind and Hydroelectric Turbines: Predict failures in blades or motors.
- Application in Heavy Vehicles: Monitors vibrations in engines and motors.
- Production Lines with Collaborative AI: Integration with MES/ERP for automatic adjustments.
Integration Flow
Sensor IP68 → Microcontroller (Arduino/ESP32) → EdgePredict Dashboard (Intel CPU + OpenVINO).
Data pipeline includes acquisition, FFT/RMS preprocessing, inference, and visualization.
Benefits Summary
- Low implementation cost.
- Predictive maintenance reduces downtime.
- Scalable for multiple industrial environments.
- Improves operational efficiency and reduces energy consumption.