Wildlife Camera Trap Kit v20
Raspberry Pi 5 Wildlife Camera Trap Kit v20: Face Recognition Gate Lock
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform a standard camera trap into an intelligent gatekeeper that can identify individual animals by face. This kit uses the DeepFace framework on a Raspberry Pi 5 to recognize enrolled faces and trigger a servo-driven lock — perfect for selectively admitting wildlife into a protected area while keeping others out. You’ll also build an audit log that records every identification event for later review.
What You'll Build
A fully functional embedded access system. The Pi Camera Module 3 continuously captures video, and the Pi 5 runs DeepFace locally to match detected faces against your enrolled dataset. When a match is found, the green LED lights up and the SG90 servo unlocks a physical gate or latch. Unrecognised attempts illuminate the red LED and are timestamped in a log file stored on the 128GB NVMe SSD.
What You'll Learn
- Configure a Raspberry Pi 5 with the M.2 HAT+ and NVMe SSD for fast OS and model storage, and connect the Pi Camera Module 3.
- Install and optimise the DeepFace library for real-time face recognition on edge hardware.
- Write Python scripts to read GPIO inputs and control an SG90 servo, plus status LEDs.
- Design and store a timestamped audit log of face recognition events for data analysis.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| SG90 Servo | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| LED Green | 1 |
| LED Red | 1 |
| 220Ω Resistors | 3 |
| 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
This intermediate kit is designed for students aged 16-21 who are already comfortable with basic Raspberry Pi setup and want to move into computer vision and edge AI. It’s ideal for CBSE Class 11-12 AI/ML elective projects, B.Tech ECE/EEE students prototyping for Smart India Hackathon, and ATL Tinkering Lab mentors demonstrating servo-based access control. Even wildlife enthusiasts with a coding background can deploy this as a research tool.
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 QR code on the box links to an AI companion customised for this project. You can also message us on WhatsApp for direct help — typical response time is under an hour.
Does this kit come with pre-trained face models?
No, the kit provides the framework to enrol your own face images. You’ll capture and label photos of the animals or people you want to recognize, then train the model locally on the Pi 5. The companion walks you through the enrolment process step by step.
Can I use this for human face access control, like a lab door lock?
Absolutely. The same face recognition pipeline works for human faces; just replace the training dataset with authorised personnel photos. The servo can drive a bolt or latch on a door
Wildlife — DeepFace recognises enrolled faces on Pi 5 and triggers a servo lock — enrol, test and audit face access log.
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