Vehicle Crash Detector Advanced Kit with ESP32 + MPU6050
Vehicle Crash Detector Advanced Kit — Edge AI Gesture Recognition That Fits in Your Pocket
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 a tiny badge-sized device that can detect a sudden vehicle tilt, crash, or hand gesture and instantly classify it — all running an AI model directly on a microcontroller. This kit turns the ESP32-S3 into an intelligent crash detector using an MPU6050 accelerometer and gyroscope, with live classification shown on an OLED display. Designed for students and hobbyists who want to move beyond blinking LEDs and into real-world embedded machine learning, the entire build fits inside a lanyard badge holder, making it wearable and highly portable.
What You'll Build
You'll assemble and program a shirt-pocket-sized module that reads motion data from the MPU6050 and feeds it into an Edge Impulse-trained model on the ESP32-S3. The OLED screen shows the predicted gesture class in real time — crash, tilt left, tilt right, normal. This isn't a simulation; it performs genuine on-device inference without needing Wi-Fi or a cloud connection once deployed. The badge holder enclosure makes it practical to wear, demonstrating a functional automotive safety proof-of-concept that can be pitched at hackathons or integrated into larger IoT systems.
What You'll Learn
- Collect and label accelerometer/gyroscope data for gesture classification
- Train a lightweight neural network model using Edge Impulse and export it for ESP32-S3
- Program the ESP32-S3 to run real-time inference on sensor data
- Design a low-power, portable embedded system with LiPo battery management
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| 0.96in OLED | 1 |
| 3.7V LiPo 500mAh | 1 |
| TP4056 Module | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 5 |
| PCB Prototype Board | 2 |
| Lanyard Badge Holder | 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
This intermediate kit is built for CBSE Class 11-12 students and B.Tech ECE/EEE undergraduates who have basic Arduino experience and want to explore edge AI and IoT. It's a strong project choice for Smart India Hackathon teams, ATL Tinkering Labs, and students at IIT, NIT, VIT, or BITS looking to build a compact, demo-ready safety device. If you're comfortable with soldering and have a laptop to run Edge Impulse, you're ready to start.
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 walks you through each stage, from soldering the OLED to deploying the .tflite model. If you need a human touch, our WhatsApp support is active on working days for specific debugging questions.
Can I train my own gestures instead of the pre-built crash model?
Absolutely. The kit includes instructions to collect fresh data with the MPU6050, relabel classes in Edge Impulse, and generate a new model. This is the real learning outcome — the hardware becomes a general-purpose gesture recognition platform.
Does it actually detect real vehicle crashes?
The included model classifies tilt and shake patterns that simulate crash dynamics. For road testing, you'd need to mount it firmly and collect real-world data, but the edge AI pipeline you'll build is the foundation for such an application.
Do I need any cloud subscription for Edge Impulse?
Edge Impulse offers a free tier that covers all training and export steps for this kit. No paid plan is required; you only need a free account to follow the companion guide.
Automotive Safety — Edge Impulse model on ESP32-S3 classifies gestures from MPU6050. OLED shows class. Fits in shirt pocket.
What's in this kit
- ESP32-S3 Dev Board
- MPU6050
- 0.96in OLED
- 3.7V LiPo 500mAh
- TP4056 Module
- 4.7kΩ Resistors x5
- 100nF Caps x5
- PCB Prototype Board x2
- Lanyard Badge Holder
- Soldering Iron
- Solder Wire
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.
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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