Retail Footfall Camera Kit
Retail Footfall Camera Kit — Build a Pi 5‑Powered People Counter and Queue Wait Predictor
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Turn a Raspberry Pi 5 into a retail analytics engine that sees every customer. Count foot traffic at the entrance, monitor live queue length with a camera, and run a queueing model that predicts wait time and suggests when to open a new counter — all without a cloud connection. This kit hands you the blueprint to prototype a real‑world solution that Indian supermarkets, banks, and QSR chains are beginning to deploy.
What You'll Build
You assemble a dual‑sensor entry counter using IR break‑beam modules and a downward‑angled Pi Camera to watch the queue. The Pi 5 processes video frames, extracts the number of people in line, combines that with entry rates, and feeds a lightweight Poisson‑based model that forecasts wait times. A simple dashboard or alert system then recommends counter openings before customers get frustrated. The kit deliverables include a fully functional system loaded on the NVMe SSD, ready to tweak or enhance.
What You'll Learn
- Integrate IR sensor modules with GPIO to log bi‑directional footfall with debounce handling
- Apply OpenCV and object detection on a Pi 5 to count people in a queue from a camera feed
- Build a queueing model that uses real‑time entry rate and queue length to estimate wait time
- Design a decision rule that triggers an alert to open a new counter when predicted wait exceeds a threshold
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| IR Sensor Module | 2 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 15 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Built for B.Tech ECE/EEE students who want to apply computer vision and queueing theory hands‑on, and for teams tackling Smart India Hackathon or retail‑tech challenges. It also suits ATL Tinkering Lab mentors looking for a transition from Arduino to edge AI. The project is a strong fit for final‑year projects and fast‑prototyping at IITs, NITs, VIT, or BITS Pilani.
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.
What if I get stuck during the build?
Scan the QR code to launch the AI companion that walks you through wiring, code, and model tuning. You can also message us on WhatsApp for real‑time help.
How accurate is the wait time prediction?
The Poisson model adapts to observed entry rates and queue length; with correct sensor placement, prediction error stays within ±15%. You can upgrade to a machine‑learning model using the same hardware.
Does it work in dimly lit stores?
The IR sensors are unaffected by ambient light. The Pi Camera Module 3 has good low‑light performance. If the queue area is very dark, add an external LED — the kit’s power supply can handle it.
Can I log data for later analysis?
Yes, the default code writes footfall counts, queue snapshots, and predicted wait times to a CSV on the NVMe SSD. You can visualise trends with Python or connect the Pi to a dashboard.
Retail Analytics — People counter at entry and queue camera feed a queueing model on Pi 5 — predicts wait time and recommends counter opening.
What's in this kit
- Raspberry Pi 5 4GB
- Pi Camera Module 3
- IR Sensor Module x2
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x15
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items