Wildlife Camera Trap Kit v23
Raspberry Pi 5 Wildlife Camera Trap Kit — Build an AI People Counter for Occupancy Monitoring
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 into a smart camera trap that uses YOLOv8 to detect and count people in real time. Designed for wildlife researchers and monitoring enthusiasts, this kit helps you build a device that logs human presence in protected areas, anywhere from national parks to your own backyard. The OLED display shows the instant count, making it ideal for occupancy monitoring in trails, sanctuaries, or remote cabins.
What You'll Build
With this kit, you assemble a compact, battery-capable camera trap powered by Raspberry Pi 5. It captures images using the Pi Camera Module 3, runs a YOLOv8 object detection model to identify people, and displays the count on a bright OLED screen. The result is a standalone occupancy monitoring system that you can deploy in the field, logging data to the NVMe SSD.
What You'll Learn
- Deploy YOLOv8 object detection on Raspberry Pi 5 hardware.
- Interface a camera module for real-time image capture and AI inference.
- Program an OLED display to show dynamic counts using Python.
- Set up an NVMe SSD for high-speed data logging in outdoor computing.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| 0.96in OLED | 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
Ideal for B.Tech ECE/EEE students building a final-year project on embedded AI, or CBSE Class 12 students showcasing an innovative computer science model. Also suited for wildlife conservationists prototyping a low-cost camera trap, and participants in Smart India Hackathon working on eco-monitoring solutions. If you're at NIT, VIT, or BITS Pilani, this kit gives you a head start on your computer vision assignment.
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 for an AI companion that walks you through each connection and code snippet, and you can also reach us on WhatsApp for personalised help.
Do I need prior Python or AI experience?
Some Python familiarity is helpful, but the AI guide explains every step. YOLOv8 comes pre‑trained for person detection, so you won’t need to train a model from scratch.
Can this kit detect animals or only people?
The default model is a person detector for occupancy monitoring, but you can retrain YOLOv8 on custom wildlife images using the same Pi 5 hardware to recognise species.
Is the kit weatherproof for outdoor deployment?
The components are not weatherproof out of the box; you will need an enclosure for field use. The kit lets you prototype and test the camera trap indoors first.
Wildlife — YOLOv8 person detector counts people in frame on Pi 5 and displays count on OLED — useful for occupancy monitoring.
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