Retail Footfall Camera Kit – Build a Face‑Recognition Door Unlock System 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.

A small‑format camera that watches the entrance, spots known customers, and quietly unlocks the door — that is what you will bring to life. This kit places a real‑world retail analytics scenario on your workbench. The Raspberry Pi 5 runs OpenCV, identifies faces with 95% confidence, and triggers a relay to simulate an automatic door strike. It is the exact prototype a store would use to track footfall and reward loyalty without a keypad or RFID tag.

What You'll Build

You assemble a camera‑based entry system that mounts above a doorway, captures live video, and runs face recognition on the Raspberry Pi 5. When a face matches your enrolled database, the relay clicks — think of it as the magnetic lock releasing. Three LEDs signal system status: ready, processing, and access granted. The final unit logs each recognition event for later footfall analysis, giving you a complete retail‑entry automation prototype.

What You'll Learn

• Flash and configure Raspberry Pi 5 for headless operation, then connect the Pi Camera Module 3 via CSI ribbon
• Install OpenCV and face‑recognition libraries, train a face dataset, and set a 95% confidence threshold for identity matches
• Write Python scripts that turn GPIO pins on/off in response to face recognition results, driving a relay and status LEDs
• Add a simple JSON log of every face detection event complete with timestamp and identity, simulating footfall‑count dashboards

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11‑12 students tackling AI/ML practicals find every sensor and camera module ready to go. B.Tech ECE and CSE undergraduates use it for Smart India Hackathon prototypes where retail footfall analysis is part of the problem statement. ATL Tinkering Labs and IIT/NIT/VIT/BITS project rooms trust this kit to move from breadboard to a convincing demo in a single evening — no separate sourcing trips or compatibility surprises.

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.