Wildlife Camera Trap Pro Kit with Raspberry Pi 5 + Camera
Advanced Wildlife Camera Trap: Count Animals Crossing a Line with Raspberry Pi 5 AI HAT+
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 placing a camera at a forest trail and knowing exactly how many animals passed overnight, without reviewing hours of footage. This kit lets you build a compact AI-powered camera trap that detects objects and counts each crossing in real time, using the Raspberry Pi 5 and its new AI HAT+ accelerator. Perfect for conservation projects, final-year engineering demos, or Smart India Hackathon challenges.
What You'll Build
You'll build a fully functional wildlife camera trap that uses a Pi Camera Module 3 to watch a scene, processes each frame through a TensorFlow model on the AI HAT+, and triggers an LED flash every time an animal or person crosses a virtual line. Crossings are logged with timestamps, and snapshots are saved for verification. The system is designed for low-power outdoor operation with a USB-C power bank.
What You'll Learn
- Install TensorFlow Lite and run object detection on the Raspberry Pi AI HAT+
- Capture and preprocess images from the Pi Camera Module 3 for model inference
- Implement a virtual line-crossing algorithm in Python
- Integrate hardware outputs (LED indicator) with inference results
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Raspberry Pi AI HAT+ | 1 |
| Pi Camera Module 3 | 1 |
| 5mm LED | 3 |
| 220Ω Resistors | 5 |
| M-F Wires | 10 |
| MicroSD Card 32GB | 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
This advanced kit is designed for B.Tech ECE/EEE students working on embedded AI projects, Smart India Hackathon teams building wildlife monitoring solutions, and final-year engineering students from IIT, NIT, VIT, and BITS Pilani. It's also ideal for conservation researchers who want a DIY smart camera trap for field experiments.
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 your kit box to access the AI build companion trained on this exact project. If you need human help, WhatsApp us — our Bengaluru team responds within a day.
Can I deploy this camera trap outdoors in a forest?
The kit includes the core electronics. For field deployment, you'll need a weatherproof enclosure and a battery power solution (sold separately). We provide guidance for enclosure selection.
How accurate is the line-crossing count in real wildlife settings?
The TensorFlow model on the AI HAT+ processes frames in real time. Accuracy depends on your training data and camera placement. You can refine the model with your own images.
Do I need programming experience to complete this project?
Basic Python knowledge is recommended since you'll work with TensorFlow scripts. The AI companion explains each step, but prior coding experience at the B.Tech level will make it smoother.
Wildlife — Pi 5 AI HAT+ runs TensorFlow object detection model counting people or objects crossing a line in camera feed.
What's in this kit
- Raspberry Pi 5 4GB
- Raspberry Pi AI HAT+
- Pi Camera Module 3
- 5mm LED x3
- 220Ω Resistors x5
- M-F Wires x10
- MicroSD Card 32GB
- USB-C PSU
Other projects you can build
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