Pi 5 Wildlife Camera Trap Kit — Real-Time Depth Maps with MiDaS

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 wildlife camera trap that sees in 3D. Instead of simple snapshots, this system produces a live depth map for every frame using MiDaS, bringing monocular visual odometry within reach. Set it up along a jungle trail or on your balcony — you’ll capture not just which animal passed by, but exactly how far away it was, all running offline on the edge.

What You'll Build

You’ll assemble a compact, tripod-ready camera that streams RGB and depth frames directly to a 256GB NVMe SSD. The Pi 5 runs a pre-optimized MiDaS model, overlaying depth information in near-real-time on a connected display or VNC session. By the end, you’ll have a deployable computer vision rig that outputs per-pixel distance data — the fundamental input for autonomous navigation and wildlife monitoring projects.

What You'll Learn

• Setting up a Raspberry Pi 5 with a high-speed NVMe SSD via M.2 HAT for low-latency inference
• Running MiDaS depth estimation models on ARM64 architecture using Python and ONNX
• Configuring the Pi Camera Module 3 for consistent exposure across day and night captures
• Processing depth maps as the first step toward monocular visual odometry and SLAM

Kit Contents