Raspberry Pi 5 Distracted Driver Detection Kit
Raspberry Pi 5 Distracted Driver Detection System with Real-Time Gaze and Phone-Use Alerts
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 cabin-facing camera that continuously monitors the driver, tracking eye gaze direction and flagging phone use the instant it happens. That is what you build with this kit. Using a Raspberry Pi 5 and a Pi Camera Module 3, you deploy a Mediapipe Face Mesh pipeline that calculates gaze vectors from 468 facial landmarks and triggers a Piezo Buzzer when the driver looks away from the road or lifts a phone into the frame. This is a focused project in driver behaviour monitoring, built entirely at your desk and tested with recorded or live video feeds.
What You'll Build
You build a functional distracted-driver monitor that displays a live camera preview overlaid with face-mesh landmarks, gaze direction arrows, and a phone-presence bounding box. A Piezo Buzzer sounds continuous short beeps whenever gaze deviates beyond a set threshold or a hand-held phone is detected near the ear. The system logs every distraction event with timestamps onto the NVMe SSD, creating a dataset you can replay and analyze later.
What You'll Learn
- Deploying Mediapipe Face Mesh on Raspberry Pi 5 and extracting 3D eye-landmark coordinates for gaze estimation
- Training a lightweight custom object-detection snippet to flag phone presence near the driver's ear region
- Writing Python multi-threaded routines that handle camera ingest, inference, and GPIO buzzer alerts without frame drops
- Mounting and configuring the Pi 5 M.2 HAT+ with an NVMe SSD for high-speed event logging and boot
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 |
| 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
Designed for B.Tech ECE, CSE, and EEE students taking up Edge AI lab mini-projects, Smart India Hackathon problem statements around road safety, or final-year capstone work on computer vision. Also matches CBSE Class 12 AI elective students and ATL Tinkering Lab mentors running intermediate machine-vision sessions. IIT, NIT, VIT, and BITS Pilani teams working on driver-monitoring prototypes will find the pre-tested hardware stack directly usable.
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 inside the box to start a conversation with the AI companion, or message us on WhatsApp. We will walk you through the exact step, including Mediapipe dependency fixes and Pi 5 GPU memory settings, until the buzzer triggers correctly.
Can this kit run inference at a usable frame rate on the Pi 5?
Yes. Mediapipe Face Mesh runs at 22-25 fps on the Pi 5 with the Camera Module 3 at 640x480 resolution, which is enough for real-time gaze tracking. The AI companion includes the exact model configuration to reach that throughput.
Does this work with a real car dashboard or only on a bench setup?
You develop and test the logic on a bench with recorded or live video. The kit gives you a fully functional monitor; adapting it to a 12V car supply and rigid mount is a separate integration step you can pursue after validating the core detection pipeline.
What dataset do I use for phone detection?
The AI companion provides a curated subset of annotated images showing phones near ears, specifically filtered for cabin-like lighting. You will also collect a small session of your own images to fine-tune the lightweight detector.
Mediapipe Face Mesh monitors gaze direction and phone use on Pi 5 camera - distracted driving detection system.
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