Retail Footfall Camera Kit v10: AI Robotics with 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.

Construct a miniature smart retail system. A Raspberry Pi 5 with camera tracks foam blocks; a 4-axis robotic arm picks and stacks them in order, with error recovery if a block is misplaced. It blends OpenCV, inverse kinematics, and real-time error handling, all running on a Pi 5 with NVMe SSD.

What You'll Build

You will assemble a robot arm on a stable base, wire the servo driver and camera, and load the pre-configured SD card image onto the NVMe drive. The system uses the Pi Camera Module 3 to identify block color and position, then calculates arm trajectories to stack them in a tower sequence you define. If a block tumbles or the tower shifts, the camera re-scans and the arm replans the stacking order. The final setup mimics a retail store counting and reorganizing stock based on foot traffic patterns.

What You'll Learn

• Setting up Raspberry Pi 5 with an NVMe SSD and M.2 HAT for high-speed I/O
• Capturing and processing images with Pi Camera Module 3 via libcamera and OpenCV
• Programming servo movements through the PCA9685 driver to achieve precise robotic arm control
• Implementing error recovery logic: real-time image comparison to detect misplaced blocks and replan arm actions

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Ideal for B.Tech ECE and CS students preparing for Smart India Hackathon