ESP32 TFLite Gesture Sensor Hub
Build a Gesture-Controlled AI IoT Hub with ESP32 TFLite Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Wave your hand to dim lights, flick right to skip a song — this kit turns an ESP32 into an intelligent gesture sensor that classifies movements in real-time using TensorFlow Lite Micro and sends commands over Wi-Fi via MQTT. It's a complete foundation for touchless interfaces, assistive tech prototypes, and smart home experiments that react to motion naturally without cloud dependency.
What You'll Build
You'll assemble a compact hub that reads accelerometer data from the MPU6050, runs a pre-trained TFLite model to recognize gestures like wave, circle, swipe, and tilt, displays the detected label on the OLED, and publishes it to an MQTT broker — ready to trigger any connected device. The final device fits on your palm and can be powered by a USB power bank for wearable or standalone use.
What You'll Learn
- Deploy a TensorFlow Lite Micro model on an ESP32 microcontroller
- Interface an MPU6050 accelerometer/gyroscope for real-time motion data capture
- Stream sensor data over Wi-Fi using the MQTT protocol
- Interpret model output and display results on a 0.96-inch OLED
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| MPU6050 IMU | 1 |
| 0.96in OLED | 1 |
| MicroUSB Cable | 1 |
| M-M Wires | 15 |
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
CBSE Class 11-12 students building AI or IoT capstone projects will find a ready-to-run TinyML companion. B.Tech ECE/EEE undergraduates prototyping for Smart India Hackathon or college competitions get a head start on gesture-controlled automation. ATL Tinkering Lab mentors and IIT/NIT/VIT/BITS hobbyists exploring edge AI gain a hands-on introduction to embedded machine learning.
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 chat with the AI companion trained on this kit; it can diagnose wiring errors, suggest code fixes, and explain model output. If you still need help, reach our support team on WhatsApp for a quick reply.
Can I add more gestures to the model?
Yes, the AI companion includes a guided workflow to collect your own accelerometer data, retrain the TFLite model using Google Colab, and deploy the updated firmware. No advanced ML experience required.
Does this work with home automation platforms like Home Assistant?
Absolutely. Once the MQTT messages are published, you can integrate them with Home Assistant or Node-RED using the provided sample configuration. Automate lights, fans, or curtains based on specific gestures.
What power source can I use for portable operation?
The ESP32 can run from a standard USB power bank via the included microUSB cable. For wearable projects, you can connect a 3.7V LiPo battery to the 5V and GND pins (battery not included). The AI companion shows the safe wiring.
TFLite Micro gesture classifier on ESP32 reads MPU6050 accelerometer data and publishes gesture labels to MQTT broker.
What's in this kit
- ESP32 Dev Board
- MPU6050 IMU
- 0.96in OLED
- 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