Retail Footfall Camera Kit v5 - End-to-End Neural Network Visual Policy Robot on 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.

Imagine a robot that navigates a retail space using only a camera, predicting motor commands directly from pixels - no map, no pre-built environment model. This kit gives you everything to build a footfall tracking robot using a Raspberry Pi 5 and a wide-angle Pi Camera Module 3, training an end-to-end neural network that learns to follow customer movement patterns. You'll deploy a real-world AI robotics application right on the edge.

What You'll Build

You'll assemble a compact robot that captures live video from the Pi Camera Module 3 Wide, processes it through a neural network running on the Raspberry Pi 5, and translates the visual scene into motor actions - effectively tracking foot traffic around a store. The kit includes an NVMe SSD for fast model inference, a dual motor driver and DC motors for smooth movement, and a ready-to-use chassis. By the end of this build, you'll have a fully autonomous visual agent that can follow a person without any external positioning system.

What You'll Learn

• Train an end-to-end convolutional neural network that maps images to motor commands
• Configure the Raspberry Pi 5 with PCIe NVMe SSD for ultra-fast data loading and inference
• Integrate the Pi Camera Module 3 Wide with TensorFlow Lite for real-time frame processing
• Deploy a pure visual policy robot that operates without maps or SLAM, using behavioral cloning

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is ideal for B.Tech ECE and CSE students tackling AI robotics projects, participants of Smart India Hackathon building retail analytics solutions, and advanced makers from ATL Tinkering Labs looking to prototype edge AI. If you are in Class 11-12 exploring CBSE computer science with practicals, or a hobbyist at IIT/NIT/VIT/BITS wanting a real neural network on hardware, this kit provides the perfect bridge between machine learning theory and physical implementation.

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.