Smart Inhaler Usage Tracker Kit with Arduino Nano + MPU6050
Smart Inhaler Usage Tracker Kit with Arduino Nano — Build Medication Adherence 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.
Non-adherence to inhaled medication regimens remains a silent, data-less problem in respiratory care. This kit lets you build a functioning compliance tracker that clips onto a standard metered-dose inhaler, using the MPU6050 inertial sensor to distinguish a genuine activation gesture from casual handling. The Arduino Nano processes the six-axis motion signature, validates the shake-and-fire sequence, and logs a time-stamped event to MicroSD via the DS3231 RTC — creating an objective, tamper-proof record of every dose.
What You'll Build
You'll build a compact, battery-powered device that attaches to a standard pMDI inhaler canister. The OLED displays the last logged usage timestamp, the buzzer confirms a registered event, and the MicroSD stores a CSV log that can be analyzed for adherence patterns. The entire assembly runs on a rechargeable LiPo cell with TP4056 charging, so it operates standalone for days. The output is a real data set you can use for a clinical study prototype, a final-year project demonstration, or a hackathon working model.
What You'll Learn
- Processing inertial sensor data from MPU6050 to classify complex gesture patterns like inhaler shake and actuation
- Implementing I2C communication protocols to manage multiple peripherals — RTC, OLED, and accelerometer — on a single bus
- Structuring time-stamped event logs to MicroSD with robust file handling and low-power state management
- Designing a wearable-form-factor prototype for a real clinical compliance requirement, moving beyond breadboard to integrated assembly
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Nano | 1 |
| MPU6050 | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| Active Buzzer | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 5 |
| 3.7V LiPo 400mAh | 1 |
| TP4056 Module | 1 |
| PCB Prototype Board | 2 |
| 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 kit suits B.Tech biomedical and ECE students building final-year projects that require embedded sensor data logging. It is directly relevant for Smart India Hackathon participants working on digital health or respiratory care problem statements. Researchers at NIT, VIT, or BITS prototyping low-cost adherence monitors for community health studies will find the gesture-validation approach immediately applicable.
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 included in the box to access the AI build companion trained on this exact project. If you need a human touch, our WhatsApp support line responds within hours on working days.
Can I modify the gesture detection logic for a different type of puffer?
Yes, the MPU6050 provides raw acceleration and gyroscope data on all three axes. The AI companion includes guidance on tuning the gesture thresholds to match the mechanical signature of dry-powder inhalers, soft-mist inhalers, or even insulin pens.
How long does the battery last in continuous use?
With the 400mAh LiPo and the power-management approach demonstrated in the build guide, the device typically runs for 48-72 hours of active gesture-monitoring before needing a recharge via the TP4056 module's micro-USB port.
Will the SD card log work with common data analysis tools?
The log is written as a standard CSV file with a UTC timestamp from the DS3231. You can open it directly in Excel, Google Sheets, Python pandas, or MATLAB for visualization and statistical analysis of dosing patterns.
MPU6050 detects inhaler shake and activation gesture. Logs inhaler use events with RTC timestamp for compliance tracking.
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.
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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