Classroom Engagement Camera Kit v26
Classroom Engagement Camera Kit v26 — YOLOv8 Empty Shelf Detector for Retail Analytics Education
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform a Raspberry Pi 5 into a practical retail AI camera that watches store shelves, detects empty spots using YOLOv8, and logs restocking alerts. Designed for students and educators who want to move beyond toy datasets and build a project that mirrors real-world inventory monitoring systems. Everything runs locally on the Pi with NVMe SSD acceleration — no cloud dependency.
What You'll Build
You'll assemble a self-contained vision sensor that streams live shelf images, runs YOLOv8n inference at the edge, and flags positions where product facing is missing. The system writes timestamped alerts to a log file and can trigger a local dashboard. It's the same pipeline retail chains deploy to minimise out-of-stock losses, condensed into a portable classroom-friendly format.
What You'll Learn
- Train a custom YOLOv8 object detector on empty-shelf vs. stocked-shelf imagery
- Deploy ONNX-optimised models on Raspberry Pi 5 with Pi Camera Module 3 Wide
- Accelerate model inference and logging with an NVMe SSD over the M.2 HAT+
- Structure an end-to-end edge AI application from capture to actionable alert
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
CBSE Class 11-12 students exploring AI electives, B.Tech ECE/EEE undergraduates working on Smart India Hackathon retail or smart city themes, and ATL Tinkering Lab mentors who need a compact yet powerful edge vision module. It also fits capstone projects at IIT, NIT, VIT or BITS where the brief demands working prototypes with measurable business impact.
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; it knows the exact wiring, YOLOv8 configuration, and common mistakes. WhatsApp support is also available if you need a human debugging partner.
Does this kit include pre-trained YOLOv8 models?
The AI companion guides you through training a custom model using included sample shelf images, or you can bring your own dataset. A lightweight ONNX model runs on the Pi for real-time inference.
Can I use a different camera or SD card instead of the NVMe SSD?
An SD card will throttle performance during inference logging. The kit’s Pi Camera Module 3 Wide and NVMe SSD are selected to deliver consistent 5-8 FPS without thermal throttling.
Will this project work for a retail-related hackathon like SIH?
Absolutely. The edge inference pipeline, alert logging, and Pi-based standalone design directly map to problem statements on smart inventory management, unattended retail, and supply-chain visibility.
Education Analytics — YOLOv8 detects empty shelf positions from camera and logs restocking alerts — practical retail AI application.
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