Retail Footfall Camera Kit v13
Retail Footfall Camera Kit v13 — Build a Causal AI People Counter 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.
Turn a Raspberry Pi 5 into an advanced footfall camera that not only counts people but learns invariant causal patterns — so your counting model transfers seamlessly across store layouts, lighting conditions, and camera angles. This kit leverages causal discovery to identify true environment-robot relationships, ensuring your retail analytics solution works reliably in any real-world shop.
What You'll Build
You’ll assemble a complete edge AI system for retail people counting. The Pi Camera Module 3 captures video, while the Raspberry Pi 5 runs a causal discovery algorithm locally to detect and count individuals entering or exiting. All raw and processed data logs onto the 512GB NVMe SSD via the M.2 HAT+, enabling high-speed storage and on-device analytics. The trained policy literally transfers across different stores without retraining — you’ll have a scalable, deployable footfall counter ready for any retail environment.
What You'll Learn
- Implement causal discovery algorithms to isolate invariant features for people detection
- Set up high‑speed NVMe storage using the Pi 5 M.2 HAT+ for real‑time data logging
- Design a computer vision pipeline that ignores spurious correlations (shadows, reflections)
- Deploy a transferable counting policy that generalises across different camera views and lighting
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 512GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
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
Final-year B.Tech students at IITs, NITs, and BITS Pilani working on retail AI capstone projects; Smart India Hackathon teams tackling real-world store analytics challenges; and embedded AI enthusiasts ready to go beyond simple object detection toward causally robust counting. If you want a system that actually works when the store layout changes, this kit is built for you.
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?
Our AI companion can walk you through each step — from camera mounting to causal model training. You can also reach our support team on WhatsApp for real-time help.
How does this kit handle different lighting or camera placements?
The causal discovery algorithm identifies lighting‑invariant features, so the counting policy remains accurate even when conditions change. You'll learn to ignore spurious correlations like flickering lights or shadows.
Do I need prior experience with causal AI?
The kit assumes comfort with Python and machine learning fundamentals, but the AI companion provides clear, step‑by‑step guidance on implementing the causal model and transferring policies.
Can I view the footfall data remotely?
You can configure the Raspberry Pi to stream live count data to a local dashboard or store everything on the NVMe SSD for offline analysis — the build companion walks you through both options.
Retail Analytics — Causal discovery identifies invariant robot-environment relationships — policy trained on causal graph transfers across environments.
What's in this kit
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