HVAC Performance Monitor Kit with ESP32 + MPU6050
ESP32 HVAC Anomaly Detection Kit – Edge AI That Flags Faults Before They Escalate
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Industrial HVAC units often run until they break, wasting energy and disrupting operations. This kit equips you to build a non-invasive performance monitor that processes vibration, current, and environmental data using TensorFlow Lite on the ESP32. Anomalies are flagged in real time, directly on the device, without ever touching a cloud server.
What You'll Build
A self-contained edge monitoring node that clamps onto existing HVAC equipment, captures multi-sensor time-series data, and runs a pre-trained anomaly detection model locally. The 0.96-inch OLED displays live readings and alert status, while the onboard model distinguishes normal operation from early signs of bearing wear, compressor strain, or airflow blockage.
What You'll Learn
- Deploy a TensorFlow Lite model on an ESP32 for on-device inference
- Collect and fuse IMU, current, and environmental sensor data in real time
- Implement non-intrusive load monitoring using an ACS712 hall-effect sensor
- Debug, calibrate, and threshold anomaly scores for reliable HVAC alerts
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| MPU6050 | 1 |
| DHT22 | 1 |
| ACS712 5A | 1 |
| 0.96in OLED | 1 |
| LM2596 Buck Converter | 1 |
| 100nF Capacitors | 10 |
| 4.7kΩ Resistors | 5 |
| PCB Prototype Board | 2 |
| Enclosure Box | 1 |
| 5V 2A Power Supply | 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
Ideal for B.Tech ECE/EEE final-year students at IITs, NITs, VIT, or BITS Pilani pursuing predictive maintenance projects, Smart India Hackathon participants tackling industrial energy efficiency, and HVAC field engineers who want to add edge AI to legacy systems without relying on external cloud services.
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?
The AI companion gives step-by-step assistance, and you can reach our team on WhatsApp for hands-on troubleshooting.
Does this kit need cloud connectivity to detect anomalies?
No, the TensorFlow Lite model runs entirely on the ESP32, so anomalies are flagged locally. Wi-Fi is only needed if you want optional remote notifications.
Can I train my own anomaly detection model with this kit?
Yes, the pre-trained model is a starting point; experienced users can collect domain-specific data, train a new TensorFlow model, and deploy it using the included toolchain guide.
Is soldering required, and is the kit suitable for beginners?
Yes, the kit includes a soldering iron and solder wire because you build the sensor circuit on a prototype board. It is designed for advanced makers with prior soldering and microcontroller experience.
HVAC — ESP32 runs TensorFlow Lite anomaly detection model trained on sensor time series. Flags anomalies locally without cloud.
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