Wildlife Camera Trap Kit with Raspberry Pi 5 & AI HAT+ – Edge Object Detection

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

This kit transforms a Raspberry Pi 5 into a wildlife camera trap that runs YOLOv8s object detection on a Hailo-8L neural processor via the AI HAT+. You’ll capture 1080p video, detect animals in real time, and benchmark the latency and power draw of hardware-accelerated inference against software-only YOLO on the Pi’s CPU. Perfect for field biologists, engineering students, and anyone exploring edge AI for conservation.

What You'll Build

You’ll assemble a complete wildlife monitoring station that triggers video recording upon detecting motion or specific animal classes, stores footage on a fast NVMe SSD, and can be deployed in the field with battery power. The system uses the Pi AI HAT+ to offload neural network inference, freeing the CPU for other tasks and reducing energy consumption – a critical comparison for remote applications. By the end, you’ll have a portable, intelligent camera trap and a deep understanding of how hardware acceleration changes the edge AI landscape.

What You'll Learn

• Deploy YOLOv8s object detection model to Hailo-8L neural processor via Raspberry Pi AI HAT+ with OpenCV integration.
• Integrate Pi Camera Module 3 to capture 1080p video, trigger recordings on detection, and configure region-of-interest filtering.
• Benchmark inference latency and power consumption between Hailo-8L acceleration and CPU-only software inference, then analyze the trade-offs for battery-operated field devices.
• Set up NVMe SSD storage for reliable, high-speed field recording and learn file management strategies for long-term wildlife monitoring.
• Fine-tune detection thresholds for specific wildlife classes (e.g., elephant, deer, tiger) and implement motion‑triggered capture logic.

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit fits B.Tech ECE/EEE students from IITs, NITs, VIT, and BITS Pilani who are building embedded AI or IoT projects for wildlife conservation. It also works for CBSE Class 11‑12 students with strong coding interests and ATL Tinkering Labs exploring AI‑enabled camera systems. Participants in Smart India Hackathon focusing on IoT‑based wildlife monitoring will find the kit ready to prototype and iterate quickly.

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.