Pi 5 Drowsiness Detection Alert
Raspberry Pi 5 Drowsiness Detection Alert Kit — Eye Aspect Ratio Monitoring with dlib
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Driver fatigue is a silent killer on Indian highways, and this kit transforms a Raspberry Pi 5 into a real-time drowsiness alert system. Using the Pi Camera Module 3 and a classic computer vision algorithm, you’ll build a prototype that tracks eye landmarks and sounds a piercing buzzer the moment microsleeps are detected. It’s a direct application of edge AI and image processing, designed for students who want to move from theory to a working safety device.
What You'll Build
You’ll assemble a compact, continuously monitoring unit that analyzes the driver’s face in near real time. When the eye aspect ratio falls below a calibrated threshold—indicating prolonged eye closure—a Piezo buzzer triggers immediately. All alert events, along with timestamps, are logged to the 128 GB NVMe SSD for later review, and the system runs headlessly on the lightweight Raspberry Pi 5.
What You'll Learn
- Implementing the dlib facial landmark detector to locate eye regions in real time
- Calculating and calibrating the eye aspect ratio (EAR) for accurate drowsiness detection
- Configuring the Raspberry Pi 5’s M.2 HAT and NVMe SSD to log alert data without latency
- Integrating a Piezo buzzer via GPIO to provide immediate audible warnings
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| Piezo Buzzer | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| 220Ω Resistors | 2 |
| USB-C PSU | 1 |
| M-M Wires | 10 |
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
Engineering students in B.Tech ECE, CSE, or EEE streams will find this a compelling final‑year project on road safety. It’s equally valuable for Smart India Hackathon participants attacking driver fatigue challenges, ATL Tinkering Lab mentors guiding advanced school groups, and anyone from IIT, NIT, VIT, or BITS Pilani who wants hands‑on experience with a complete edge AI pipeline.
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 talk to our AI companion, which has been trained on the exact dlib and EAR steps for this kit. You can also ping us on WhatsApp for live debugging assistance.
Do I need prior computer vision experience?
Not necessarily. The AI companion explains facial landmarks and the EAR formula through visual walkthroughs. Basic Python familiarity helps, but it’s not a strict requirement.
Can this system work in a moving vehicle?
The Pi Camera Module 3 adapts to varying light conditions, and with proper mounting it can track eyes on the go. However, this is an educational prototype—always test in a stationary, controlled setup first.
What if a component fails out of the box?
All parts are covered by our 7‑day replacement policy for manufacturing defects. Just reach out on WhatsApp, and we’ll ship a replacement immediately.
dlib facial landmark detector monitors eye aspect ratio on Pi 5 — alarm sounds when drowsiness is detected over threshold.
What's in this kit
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