Raspberry Pi Camera Trap: Count Vehicles Using OpenCV Kit
Wildlife Camera Trap Kit v26 - Count Vehicles with Edge AI and 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.
Turn a Raspberry Pi 5 and Pi Camera Module 3 Wide into an autonomous wildlife camera trap that uses OpenCV background subtraction to detect and count vehicles crossing a virtual line. Log timestamp, count, and direction to CSV for later analysis. This project mimics real-world traffic monitoring tools used by conservationists and field researchers, bringing edge AI right to the trailhead or forest path.
What You'll Build
You'll assemble a compact, weather-ready camera system that runs an OpenCV background subtraction algorithm on-device. A virtual line drawn in the camera's field of view triggers a counter whenever a vehicle-or large animal-crosses it. Directional data and timestamps are saved to a fast 128GB NVMe SSD, giving you days of unattended logging without network or cloud reliance. The kit is equally suited for wildlife studies and smart-city traffic projects.
What You'll Learn
- Set up a Raspberry Pi 5 with NVMe SSD for rapid boot and high-capacity data storage
- Capture high-dynamic-range images with the Pi Camera Module 3 Wide in outdoor lighting
- Implement background subtraction in OpenCV to detect moving objects and ignore static scenery
- Log event data to CSV with precise timestamps and direction metadata using Python
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
Ideal for B.Tech ECE/EEE students building computer vision projects for Smart India Hackathon or final-year submissions, as well as ATL Tinkering Lab mentors guiding high-school innovators. Wildlife researchers and conservation volunteers will find it a reliable, low-cost alternative to commercial camera traps for vehicle or large-animal monitoring.
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?
Open the AI companion from the QR code on your phone - it knows every line of code and every connection. If you prefer human help, message us on WhatsApp and we'll guide you.
Can I use this kit to monitor wildlife at night?
The Pi Camera Module 3 Wide performs well in low light, but for total darkness you'll need an external IR illuminator (not included). The background subtraction algorithm works reliably if the scene is evenly lit.
Do I need to know Python or OpenCV beforehand?
Basic Python familiarity is helpful, but the AI companion provides ready-to-run scripts and explains every step. You'll learn OpenCV fundamentals as you build and customise the project.
How many days of data can the 128GB SSD store?
The NVMe SSD can hold several months of CSV logs and event-triggered still images. You can configure the system to only save frames when a crossing is detected, maximizing storage for long field deployments.
Wildlife - 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