Retail Footfall Camera Kit v23
Retail Footfall Camera Kit — Deploy YOLOv8 Person Counting on a 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 a real‑time occupancy monitor that detects people and displays the count instantly. This kit brings the retail analytics use case directly to your workbench — a YOLOv8 model running locally on the Pi CAM 3 feed, with every detection updating a crisp OLED screen. It is the starting point for smart store solutions, queue management demos, and classroom AI projects.
What You'll Build
You will assemble a camera‑based person counter that captures video, runs the YOLOv8 model on‑device, and shows the current footfall on a 0.96‑inch OLED. The NVMe SSD provides fast storage for model files and logged data. The result is a self‑contained gadget you can place at a doorway to track entry counts — exactly what retailers need for occupancy monitoring.
What You'll Learn
- Deploy YOLOv8 person detection model on Raspberry Pi 5 with hardware acceleration.
- Interface Pi Camera Module 3 and optimise live video for AI inference.
- Program an I2C OLED display to show real‑time footfall numbers.
- Set up an NVMe SSD with Pi 5 M.2 HAT+ for fast model deployment and log storage.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| 0.96in OLED | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 10 |
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 for YOLOv8 on Pi 5 |
| Build support | Forums and scattered tutorials | AI companion trained on this exact person counting project |
| Time to first working build | Days of debugging camera, OLED, and HAT conflicts | Hours, with tailored guidance for the M.2 HAT+ and camera ribbon routing |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Built for intermediate learners aged 16‑21, this kit fits perfectly into CBSE Class 12 AI projects, B.Tech ECE/EEE mini‑project submissions, and Smart India Hackathon builds that demand a working edge‑AI prototype. If you have put a Raspberry Pi through basic tutorials and now want to tackle a real computer vision challenge — the kind ATL tinkering labs and IIT/NIT/VIT students showcase — this kit delivers that leap.
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 chat with an AI companion that understands this specific kit. For tricky hardware issues, you can also reach us directly on WhatsApp.
Can I modify the code to count only specific types of people (e.g., adults vs. children)?
Yes, the YOLOv8 model can be filtered by class or fine‑tuned. The AI companion includes notes on how to adjust detection logic or switch to a custom model for age-based counting.
Does this kit support logging counts to a cloud dashboard?
Out of the box, counts are displayed on the OLED and saved locally to the SSD. The companion guide shows how to extend the Python script to push data via MQTT to a cloud service — a typical requirement for SIH demos.
Is the Pi Camera Module 3 physically compatible with the M.2 HAT+?
Yes, the kit includes a shorter camera ribbon cable that clears the HAT+ board. We have tested the fit so you can mount both without bending or signal issues.
Retail Analytics — YOLOv8 person detector counts people in frame on Pi 5 and displays count on OLED — useful for occupancy monitoring.
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