Pi 5 AI HAT+ Custom Model Deployment: From PyTorch to Hailo HEF

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

Take a PyTorch YOLO model—perhaps trained on a dataset of Indian traffic signs or industrial defects—and turn it into an optimized Hailo HEF binary running at 30 FPS on real-time video. This kit guides you through the full compiler toolchain: model parsing, calibration, quantisation, and deployment, all on the powerful Raspberry Pi 5 with AI HAT+.

What You'll Build

A fully functional edge AI camera running your own YOLO object detection model on the Hailo-8L neural processor. You'll capture live video from the Pi Camera Module 3, preprocess it, run inference at high speed, and visualize bounding boxes—exactly as you’d prototype a production system.

What You'll Learn

• Convert a PyTorch YOLO model to ONNX and compile it for Hailo-8L using the Hailo Model Zoo toolchain.
• Quantise and calibrate the model with a custom dataset to maintain accuracy within 2% of the full-precision version.
• Deploy the compiled HEF file on the Raspberry Pi AI HAT+ and run inference at up to 30 FPS.
• Build a complete real-time object detection pipeline using the Pi Camera Module 3 and display results with bounding boxes.

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This advanced kit is built for B.Tech (ECE/EEE/CSE) students working on final-year edge AI projects, participants in Smart India Hackathon building real-time vision solutions, and researchers at IITs, NITs, VIT, BITS who need a portable, high-speed custom model deployment platform. If you have trained a YOLO model and now want to run it on-device without cloud dependency, this kit is your direct path.

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.