ESP32 Anomaly Detection Kit: MQTT Alerts with Statistical Process Control
ESP32-Based Time Series Anomaly Detection Kit - MQTT Alerts & Statistical Process Control
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit lets you build a local, ESP32-powered current monitoring system that learns normal behavior using statistical process control (SPC) rules and instantly pushes MQTT alerts when anomalies occur-without relying on cloud processing for detection. Ideal for predictive maintenance, industrial IoT prototypes, or research projects, the system uses dual INA219 high-side current sensors and an ACS712 hall-effect sensor to capture precise time-series data, timestamped by a DS3231 RTC and logged to a microSD card for analysis.
What You'll Build
You'll assemble a complete edge-computing device that monitors current draw in real time, applies Western Electric SPC rules (e.g., 1 point beyond 3 sigma, 2 of 3 beyond 2 sigma) to flag process shifts, and publishes alert messages via MQTT to a broker of your choice. The OLED displays live readings and alarm status, while the logged CSV data lets you verify algorithm accuracy.
What You'll Learn
- Implement statistical process control (SPC) rule engines on an ESP32 microcontroller
- Acquire and timestamp high-frequency current sensor data using INA219 and ACS712 over I2C
- Design a local MQTT client that publishes structured anomaly alerts with timestamps and sensor metadata
- Log time-series data to a microSD card for offline analysis and model validation
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| INA219 | 2 |
| ACS712 5A | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 0.96in OLED | 1 |
| LM2596 Buck Converter | 1 |
| 100nF Caps | 10 |
| 4.7k? Resistors | 5 |
| PCB Prototype Board | 2 |
| Enclosure Box | 1 |
| 5V 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 and researchers working on industrial IoT projects or Smart India Hackathon challenges requiring predictive maintenance prototypes. Ideal for B.Tech ECE/EEE final-year students at IITs, NITs, VIT, or BITS Pilani who are building condition-monitoring capstone projects. Also suited for professionals in manufacturing or energy sectors prototyping edge-based anomaly detection systems.
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 build companion (via QR code) walks you through every step in detail. If you still need help, drop a WhatsApp message and our support team will assist within hours.
Can I modify the SPC rules to fit my own process?
Yes, the firmware is open-source and well-commented. The AI companion can guide you through customizing thresholds, rule sets, and alert logic.
Does this kit require a constant internet connection to send MQTT alerts?
Anomaly detection runs entirely on the ESP32. MQTT alerts need a network connection to your broker; if the network drops, the microSD queues alerts for later transmission, and the companion explains how to set this up.
What programming environment is needed?
The kit uses Arduino IDE with all required libraries pre-vetted. Step-by-step instructions cover library installation and code flashing, making it accessible even if you're new to embedded IoT development.
ESP32 processes INA219 current readings locally. Statistical process control flags anomalies and alerts via MQTT.
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