AI-Powered Predictive Maintenance Dashboard
AI-Powered Predictive Maintenance Dashboard — Build an Industrial-Grade Motor Health Monitor with Arduino and TensorFlow
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
With a single USB connection, you’ll stream motor current and vibration data to a Python environment, train a TensorFlow anomaly detection model, and then deploy alert logic to the Arduino for real-time dashboard display and relay-driven shutdowns — turning raw sensor signals into a proactive maintenance strategy.
What You'll Build
A fully functional predictive maintenance prototype that reads AC motor data via the ACS712 and ADXL345, logs it to microSD with RTC timestamps, and runs a trained ML model on a Linux machine to detect early failure signatures. The Arduino drives an OLED dashboard showing health status, and triggers a relay to cut power when anomalies are detected.
What You'll Learn
- Collecting and preprocessing analog sensor data for machine learning pipelines
- Training a TensorFlow model for anomaly detection on multivariate time-series
- Implementing real-time alert systems with Arduino, relays, and protective diodes
- Industrial IoT integration: packaging the prototype in a DIN rail enclosure with robust power regulation
Kit Contents
| Component | Quantity |
|---|---|
| Arduino UNO Q | 1 |
| ACS712 20A | 1 |
| ADXL345 Accel | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| LM2596 Buck Converter | 1 |
| 0.96in OLED | 1 |
| 5V Relay Module | 1 |
| 1N4007 Diode | 5 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| DIN Rail Enclosure | 1 |
| USB-C Hub | 1 |
| 12V 2A PSU | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Engineers deploying Industry 4.0 pilot projects, final‑year B.Tech and M.Tech students from ECE, EEE, and Mechatronics, and professionals prototyping condition monitoring for motors in manufacturing plants. The build aligns with Smart India Hackathon and advanced college project requirements, bridging the gap between sensor hardware and cloud‑ready AI.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code to access the AI companion trained on this kit; it covers wiring, coding, and ML model training. For human help, WhatsApp us — we respond within 24 hours.
Can this kit work with a Raspberry Pi instead of a Linux PC?
Yes. The TensorFlow training runs on any Linux system, including a Raspberry Pi 4/5. The included USB‑C hub simplifies connecting the Arduino and power.
Do I need prior experience with TensorFlow?
The AI companion provides ready‑to‑run code for data collection, model training, and inference. Basic Python familiarity is helpful but not mandatory.
How can I integrate this into a real industrial setup?
The DIN rail enclosure and relay output allow mounting inside a control cabinet. Extend the Arduino’s logic to trigger external systems and monitor health via the OLED or a connected dashboard.
TensorFlow on Linux trains on ACS712 + ADXL345 motor data. STM32 handles real-time alert relay and OLED output.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items