Wildlife Camera Trap Kit v25
Raspberry Pi Wildlife Camera Trap Kit — AI-Powered Object Sorting
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Conservation needs smarter tools. This kit lets you build a camera trap that not only captures images but actively sorts detected wildlife models—routing each object to the right bin based on its colour and shape using OpenCV. Imagine a system that can distinguish a plastic tiger from a wooden elephant, then physically separate them for later cataloguing. Perfect for students and hobbyists exploring edge AI and ecological monitoring.
What You'll Build
You'll assemble a standalone sorting system driven by a Raspberry Pi 5 and Pi Camera Module 3. The camera identifies a small object (simulating an animal), extracts its dominant colour and geometric shape, then commands two SG90 servos to tilt a conveyor chute, directing the object into the appropriate collection bin. It's a miniature version of industrial sorting, reimagined for wildlife research. The system processes images at 10+ fps, yielding near-instantaneous sorting decisions.
What You'll Learn
- Train and deploy OpenCV-based colour segmentation and shape detection pipelines
- Interface the Pi Camera Module 3 for real-time image capture and analysis
- Program servo motors to create responsive physical sorting mechanisms
- Optimise a Raspberry Pi 5 system with NVMe SSD via M.2 HAT for fast data logging
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| SG90 Servo | 2 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 15 |
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 CBSE Class 11–12 students diving into computer science practicals, B.Tech ECE/EEE majors building capstone projects, and Smart India Hackathon participants prototyping object-sorting solutions. If you're at an ATL Tinkering Lab or preparing for tech fests at IITs, NITs, VIT, or BITS, this kit gives you a ready-on-the-bench computer vision system that extends easily to wildlife monitoring applications.
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 launch the AI companion. If you need more help, message us on WhatsApp and we’ll guide you through the tricky part.
Can I modify the detection to recognise specific animal patterns?
Yes, the OpenCV pipeline is fully customisable. You can train it on your own colour and shape data to mimic real wildlife identification.
Is the conveyor bin included in the kit?
The kit provides the servos and mechanism plans; you’ll need to source a lightweight conveyor bed or 3D-print one using the included design files.
Does this work as a standalone trap in the field?
This is a bench-top educational prototype. For outdoor deployment, you’d need to weatherproof the electronics and add a battery pack—concepts the build guide explores.
Wildlife — OpenCV detects object colour and shape from Pi camera — controls a conveyor servo to route objects to correct bin.
What's in this kit
- Raspberry Pi 5 4GB
- Pi Camera Module 3
- SG90 Servo x2
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x15
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