Vibration FFT Analyser Kit with Arduino Uno + LED
Build a Real-Time Vibration Spectrum Analyser with Arduino Uno & OLED
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Create an 8‑band vibration frequency spectrum analyser that reads real‑time acceleration data from an ADXL345, runs the ArduinoFFT library to compute frequency magnitudes, and plots them as a dynamic bar graph on a 0.96‑inch OLED. This project is perfect for engineering students exploring signal processing, IoT enthusiasts monitoring machine health, or makers building vibration‑interactive installations.
What You'll Build
By the end of this kit, you’ll have a working spectrum analyser that displays the frequency content of vibrations from motors, bridges, or even footsteps. You’ll see how mechanical motion translates into digital frequency bands, and you can use it to detect imbalance in fans, pumps, or any rotating machinery. The analyser refreshes the spectrum in real time, making it a powerful teaching tool for signal processing and embedded systems.
What You'll Learn
- Interfacing ADXL345 accelerometer with Arduino Uno via I2C, configuring sensitivity and sampling rate
- Implementing real‑time Fast Fourier Transform (FFT) using the ArduinoFFT library on a microcontroller
- Visualizing frequency data on an OLED display by drawing dynamic bar graphs
- Optimizing Arduino code for 100 Hz sampling and real‑time spectrum updates
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Uno R3 | x1 |
| ADXL345 Accel | x1 |
| 0.96in OLED | x1 |
| 4.7kΩ Resistors | x5 |
| 100nF Caps | x5 |
| 400-pt Breadboard | x1 |
| M-M Wires | x20 |
| 9V Battery Snap | x1 |
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 kit is ideal for CBSE Class 11‑12 students exploring physics and computer science integrations, B.Tech ECE/EEE undergraduates building their first embedded system project, or Smart India Hackathon teams working on predictive maintenance and IoT. It’s also well‑suited for ATL Tinkering Labs and university mini‑projects at IITs, NITs, VIT, and BITS Pilani.
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?
Reach out via WhatsApp or scan the QR code on the box to access the AI build companion, trained with step‑by‑step debugging for this exact kit.
Can I use this kit for college mini‑projects or hackathons?
Absolutely. The vibration FFT analyser is an excellent demonstration of signal processing and IoT. The pre‑tested components and AI guide ensure you can complete it within the 4‑5 hour timeframe, making it ideal for last‑minute project submissions or hackathon demos.
Is the spectrum display customizable?
Yes, the Arduino code is open‑source and commented. You can modify the number of frequency bands, change the sampling rate, add threshold alerts, or log data to an SD card (not included but breadboard space allows expansion).
What if a component is defective?
If any part fails due to a manufacturing defect, we'll replace it free within 7 days of delivery. Just contact support via WhatsApp or email.
ADXL345 at 100Hz feeds ArduinoFFT library to plot 8-band vibration spectrum on OLED in real time.
What's in this kit
- Arduino Uno R3
- ADXL345 Accel
- 0.96in OLED
- 4.7kΩ Resistors x5
- 100nF Caps x5
- 400-pt Breadboard
- M-M Wires x20
- 9V Battery Snap
Other projects you can build
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