ESP32 Anomaly Detection Sensor Node
ESP32 Anomaly Detection Sensor Node Kit — Build an AI IoT Alert System with Z-Score Monitoring
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine monitoring a school lab incubator, a server room, or a greenhouse and receiving instant alerts the moment temperature readings stray from normal — all from a single ESP32 node. This kit guides you through building a Z‑score anomaly detection system that tracks DHT22 sensor data, learns a steady baseline, and pushes MQTT notifications when outliers appear. It’s an ideal launchpad for CBSE AI projects, Smart India Hackathon prototypes, or a first IoT mini‑project.
What You'll Build
You’ll assemble an ESP32 sensor node that streams temperature and humidity data. After a brief calibration period, the on‑board algorithm computes Z‑scores in real time. When a reading exceeds the normal range, red LEDs flash and an alert message is published to your MQTT broker — a cloud or local dashboard shows the event instantly. The system automatically adapts to slow baseline shifts, making it reliable for continuous monitoring.
What You'll Learn
- Implement a Z‑score anomaly detection algorithm on the ESP32 using Arduino IDE
- Connect and calibrate a DHT22 temperature/humidity sensor for stable readings
- Send real‑time sensor data and alert messages to an MQTT broker over WiFi
- Design visual alert circuits with red/green LEDs and 220Ω resistors for clear feedback
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | x1 |
| DHT22 | x1 |
| LED Red | x2 |
| LED Green | x2 |
| 220Ω Resistors | x5 |
| MicroUSB Cable | x1 |
| M-M Wires | x15 |
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 CBSE Class 11-12 students exploring AI and IoT, B.Tech ECE/EEE undergraduates building mini‑projects, Smart India Hackathon teams prototyping remote monitoring solutions, and ATL Tinkering Lab facilitators. If you want hands‑on anomaly detection without hunting for compatible parts, this kit gives you a clear, guided launch.
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 on the box to chat with our AI build companion, trained specifically for this project. If you prefer human help, reach us on WhatsApp and we’ll respond within 24 hours.
Can I use this kit for a school science exhibition?
Absolutely. The MQTT dashboard can be displayed on a laptop or phone, and the red/green LED alerts make the anomaly detection logic instantly clear to judges and visitors.
Do I need prior coding experience?
No. The build companion walks you through every line of Arduino code. A basic familiarity with the Arduino IDE is helpful, but the step‑by‑step guidance removes guesswork.
What if a component is defective?
We offer a 7‑day free replacement for manufacturing defects. Contact us on WhatsApp or email, and we’ll ship a replacement from Bengaluru immediately.
Z-score anomaly detection on ESP32 monitors DHT22 temperature data — alerts MQTT broker when readings deviate from baseline.
What's in this kit
- ESP32 Dev Board
- DHT22
- LED Red x2
- LED Green x2
- 220Ω Resistors x5
- MicroUSB Cable
- M-M Wires x15
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