Build a Real-Time Object Counter with Raspberry Pi 5 AI HAT+ and TensorFlow

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

Imagine a camera feed that automatically counts people entering a room or products passing a conveyor. This kit turns a Raspberry Pi 5 and AI HAT+ into a smart object counter that does exactly that—train a TensorFlow model and trigger an LED each time something crosses your line.

What You'll Build

You'll assemble a complete edge AI system that counts objects crossing a line. The Pi Camera Module 3 feeds live video; the AI HAT+ runs a TensorFlow Lite model to detect objects, and an LED flashes for each crossing. Extend it to count vehicles, people, or inventory in real time.

What You'll Learn

• Deploy a quantized TensorFlow model on the Raspberry Pi AI HAT+ coprocessor
• Configure and optimize the Pi Camera Module 3 for high‑speed inference
• Write Python code that draws lines and tracks object centroids in the video stream
• Extend the base project to handle custom object classes using transfer learning

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for advanced makers and engineering students (CBSE Class 11‑12 with AI specialization, B.Tech ECE/EEE/CSE, and participants of Smart India Hackathon) who want to move beyond basic robotics and build a real‑world computer vision system. It’s also well‑suited for ATL Tinkering Lab coaches and NIT/IIT/VIT/BITS students undertaking capstone projects that require edge AI.

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.