Pi 5 Traffic Counting Camera Kit
Pi 5 Traffic Counting Camera Kit — Count Vehicles in Real Time with OpenCV
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
With this kit, you’ll build a camera system that tracks vehicle movement across a virtual line, logging count, direction, and timestamps to a CSV file — just like traffic engineers use. Apply it to analyze intersection patterns, count vehicles in a campus lane, or prototype a smart city sensor node.
What You'll Build
You’ll assemble a standalone edge AI camera that mounts a Raspberry Pi 5 with a wide-angle camera module, processes video in real time with OpenCV background subtraction, and automatically saves a CSV with each crossing event. The system identifies direction (left-to-right or right-to-left) and maintains a running total, ready for data analysis.
What You'll Learn
- Implement background subtraction in OpenCV to detect moving vehicles
- Program virtual line crossing logic with direction detection
- Log timestamped data to CSV on NVMe storage for fast write performance
- Deploy a real-time computer vision pipeline on Raspberry Pi 5 hardware
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 Wide | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 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
Designed for B.Tech ECE/EEE students building a computer vision portfolio, CBSE Class 11–12 students tackling smart city projects, and teams gearing up for Smart India Hackathon. Whether you’re an ATL Tinkering Lab mentor in a Kendriya Vidyalaya or a researcher at IIT/NIT/VIT prototyping a traffic sensor, this kit gives you a ready-to-deploy edge AI node with professional-grade logging.
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?
The AI companion walks you through every step via QR code. If you still hit a wall, send a WhatsApp message to our support team — we’ll reply within hours.
Can I test the camera without a real road?
Absolutely. Point it at a hallway or desk with moving objects; the same background subtraction logic counts any moving target crossing the line.
Does the kit support night-time vehicle counting?
The Pi Camera Module 3 Wide lacks IR illumination, but you can add an external IR lamp and switch to a motion‑triggered mode — the OpenCV pipeline remains unchanged.
Will this work as a pedestrian counter too?
Yes. The same virtual line algorithm classifies any moving object, so you can count pedestrians, cyclists, or even shopping‑cart traffic with a retrained background model.
OpenCV background subtraction counts vehicles crossing a virtual line — logs count, timestamp and direction to CSV.
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