Detect Student Drowsiness with Raspberry Pi 5 Kit
Classroom Engagement Camera Kit v23 - Spot Drowsy Students with Raspberry Pi 5
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 camera that watches your classroom and quietly warns you the moment a student's eyes begin to close. This kit gives you exactly that - a Raspberry Pi 5-powered drowsiness monitor that uses dlib's facial landmark detector to track eye aspect ratio, and fires a piezo buzzer when attention fades. Perfect for schools and colleges that want to bring education analytics into the real world without needing a cloud subscription or machine-learning PhD.
What You'll Build
You'll assemble a compact, always-on camera system that captures video through the Pi Camera Module 3, locates 68 facial landmarks in real time, and computes eye aspect ratio (EAR) continuously. When EAR drops below a user-set threshold - indicating heavy eyelids or sleep - the buzzer sounds immediately. You can tweak sensitivity and alarm duration right from the Python script, and because all processing stays on the Pi 5, the system works without internet.
What You'll Learn
- Install dlib and OpenCV on a Raspberry Pi 5 and verify GPU-accelerated inference
- Extract eye regions from 68-point facial landmarks and measure the eye aspect ratio
- Set a drowsiness threshold that discriminates between normal blinking and sleep onset
- Control a piezo buzzer via GPIO to create a physical alert loop tied to vision events
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 |
| 220? 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
CBSE Class 11-12 students working on AI-centric school projects, B.Tech ECE/EEE teams prototyping for Smart India Hackathon, ATL Tinkering Labs moving beyond basic robotics, and IIT/NIT/VIT/BITS undergraduates who need a capstone demo that blends computer vision with practical hardware - this kit was designed for Indian classrooms that want to measure engagement without intrusive sensors.
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 on the box to start a chat with the AI companion built specifically for this kit. If you still need help, our team answers WhatsApp within hours.
Can I adjust the drowsiness threshold?
Yes, the Python script exposes the EAR threshold as a variable you can change. The AI companion will show you exactly where and how to tweak it.
Can this kit be used for remote learning?
Absolutely - place the camera to monitor a student during a video call and the buzzer will sound at the desk if the eyes stay closed too long. It's an ideal accountability tool for home-based study.
Is the AI model pre-trained?
The kit relies on dlib's pre-trained 68-point facial landmark model. There is no training step - you just run the inference, and the AI companion explains what happens frame by frame.
Education Analytics - 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