Build a Face-Recognizing Wildlife Camera Trap with Raspberry Pi 5

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 your backyard into a smart observation post. This kit lets you assemble a camera trap that photographs visiting animals at night and simultaneously uses OpenCV face recognition to identify known people—granting access through a relay-controlled lock when confidence exceeds 95%.

What You'll Build

You’ll create a compact unit around a Raspberry Pi 5 with a Pi Camera Module 3. It captures wildlife images to an SD card, runs real-time face detection, and upon recognizing a pre-registered face with 95% certainty, energizes a relay to release an electric lock. Perfect for a remote gate, a tool shed, or a monitoring station.

What You'll Learn

• Train an OpenCV face recognition model on your own photo dataset
• Wire a 5V relay to control a high-current door strike safely
• Set up motion-triggered image capture with the Pi Camera
• Program conditional logic that acts on recognition confidence scores

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Ideal for CBSE Class 11–12 students exploring AI and computer vision, B.Tech ECE/EEE undergraduates prototyping for Smart India Hackathon, and ATL Tinkering Lab innovators. Wildlife enthusiasts who want to add intelligent access control to a camera trap will also find the hands-on build perfectly suited.

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.