Retail Footfall Camera Pro Kit with Raspberry Pi 4 + Camera
Capture Real-Time Retail Footfall Analytics with Raspberry Pi 4 and OpenCV
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit lets you build a production-ready retail footfall camera that recognizes repeat visitors and logs every entry with a timestamp and snapshot. Perfect for shop owners wanting hard data on walk-ins, engineering students tackling computer vision challenges, or hackathon teams developing smart retail solutions. You'll run OpenCV face detection on a Raspberry Pi 4, connect an SQLite database, and trigger visual and audio alerts for new vs. returning faces.
What You'll Build
A standalone camera module that sits at your store entrance, identifies faces in real-time, and instantly records each detection. The database stores a photo, date-time stamp, and a unique visitor ID — letting you later analyze peak hours, repeat visitor frequency, and conversion rates. The kit includes LEDs that flash green for recognized faces and red for new ones, along with a buzzer that sounds a short beep on every entry.
What You'll Learn
- Implement face detection and recognition pipelines using OpenCV in Python
- Design and query an SQLite database to store attendance logs with photo evidence
- Control GPIO pins to drive LEDs and an active buzzer for real-time feedback
- Integrate a complete embedded vision system with sensor triggers and data logging
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 4 Model B 4GB | 1 |
| Pi Camera Module 3 | 1 |
| 5mm LED | 3 |
| Active Buzzer | 1 |
| 40-pin GPIO Header | 1 |
| M-F Wires | 15 |
| MicroSD Card 32GB | 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
This kit is designed for B.Tech ECE/EEE students building capstone projects, Smart India Hackathon participants tackling retail tech challenges, and entrepreneurs prototyping store analytics. If you're a CBSE Class 12 student exploring AI-based attendance systems or an ATL Tinkering Lab mentor looking for an advanced challenge, the pre-written Python scripts and database schema in this kit will save you weeks of development time.
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 on the box to talk to the AI companion trained on this exact project. It can troubleshoot code, wiring, and OpenCV errors. If you need a human, our WhatsApp support is also available.
Can I export the attendance data to Excel or CSV?
Yes, the included Python script has a function to dump the SQLite database to a CSV file with one command. You can then open it in Excel or Google Sheets for analysis.
Does the face recognition work in low light?
The Pi Camera Module 3 performs well in moderate lighting, but for very low-light environments, you can adjust the OpenCV brightness and contrast parameters. The kit's documentation explains how to add an optional IR LED ring (not included) for night-time use.
Is this kit suitable for a college final-year project?
Absolutely. The project covers computer vision, embedded systems, and database management — strong topics for a B.Tech final-year thesis. You can extend it with cloud sync, a web dashboard, or mobile alerts to make it even more impressive.
Retail Analytics — Pi 4 OpenCV face recognition logs attendance to SQLite database with timestamp and photo evidence.
What's in this kit
Other projects you can build
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