Retail Footfall Camera Kit v2
Retail Footfall Camera Kit v2 — AI-Powered Student Engagement Analytics on 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.
Step into real-world computer vision with a camera that silently measures engagement. This kit puts a Raspberry Pi 5 and Pi Camera Module 3 at the heart of a system that uses MediaPipe to detect faces and body poses, then classifies whether each passerby is attentive, neutral, or distracted. Designed for retail stores and education labs, it builds an anonymous, privacy-safe reporting tool without any cloud dependency.
What You'll Build
You’ll assemble a compact inference node that runs AI at the edge. Once powered, the system streams video, detects individuals, and estimates head pose and posture in real time. A Python pipeline logs engagement levels (attentive, neutral, disengaged) to an NVMe drive and generates hourly aggregate reports — ideal for a store window display or a quiet classroom observation setup.
What You'll Learn
- Capturing and processing real-time video with Pi Camera Module 3 and OpenCV
- Integrating MediaPipe’s face mesh and pose estimation models for head-pose analysis
- Writing Python scripts for edge inference and anonymous data logging on the Pi 5
- Deploying a self-contained analytics appliance that operates entirely without internet
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 Wide | 1 |
| NVMe SSD 128GB | 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
Perfect for B.Tech ECE/CSE students taking on Smart India Hackathon challenges, final-year mini-projects in IoT/AI, and CBSE Class 12 learners exploring computer science practicals. ATL Tinkering Labs and engineering clubs at NIT, VIT, and BITS will find it a rapid way to prototype retail analytics and student engagement experiments.
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 start the AI companion for guided debugging, or message us on WhatsApp for direct help from our team.
Does the AI inference run offline?
Yes, all MediaPipe processing happens on the Pi 5 without any internet connection, keeping data secure and private.
Can I customize the engagement classification rules?
Absolutely. The Python script is open, so you can adjust head-pose angle thresholds to match your own definitions of attentive, neutral, or distracted.
What enclosure does the kit include?
The kit supplies all core electronics; you can 3D print or buy an off-the-shelf case to mount the camera in a store window or lab setting.
Retail Analytics — MediaPipe face and pose on Pi 5 classifies student engagement level from head pose and posture — anonymous aggregate reporting.
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