Pi 5 Retail Shelf Monitoring Kit
Raspberry Pi 5 Retail Shelf Monitoring Kit: AI-Powered Empty Shelf Detection & Restocking Alerts
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a shop where shelf gaps are automatically detected and staff get notified within seconds — no manual checks. This kit lets you build exactly that: an edge AI camera system using a Raspberry Pi 5 and YOLOv8 computer vision model that identifies empty positions on retail shelves, logs those events, and triggers restocking alerts. Perfect for students and hobbyists exploring practical AI applications in inventory management.
What You'll Build
You'll assemble a complete edge AI monitoring unit comprising a Raspberry Pi 5, a wide-angle camera module, and fast NVMe storage. The system continuously captures shelf images, runs a trained YOLOv8 model to detect empty slots, and stores alerts locally. You can expand it to send SMS or dashboard notifications — the skills are directly transferable to real-world retail, warehouse, and inventory automation projects.
What You'll Learn
- Deploy YOLOv8 on edge hardware using Raspberry Pi 5 and optimized inferencing
- Configure Pi Camera Module 3 Wide for consistent lighting and angle in retail settings
- Set up NVMe SSD storage for high-speed logging of detection events and model data
- Integrate detection alerts into a simple dashboard or notification system using Python
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
Ideal for CBSE Class 11-12 students building AI projects for board evaluations, B.Tech CSE/ECE students working on edge AI or computer vision mini-projects, and teams preparing for Smart India Hackathon with a retail or inventory theme. Also a strong fit for ATL Tinkering Labs looking to introduce real-world AI applications in the classroom.
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 access the AI build companion trained on this exact kit; you can also reach our support team via WhatsApp for real-time help.
Does this kit need any soldering?
No soldering — all components connect via ribbon cables, USB-C, and M.2 slot. You'll only need a small screwdriver for the M.2 HAT+ installation.
Can I use this kit to monitor my own shop or college canteen shelves?
Yes, the system is designed to be mounted above a shelf; you can train the YOLOv8 model on your own shelf images for specific products. The AI companion will guide you through model customization.
What software and AI models are pre-loaded or provided?
The kit includes a ready-to-flash SD card image with YOLOv8 nano pre-trained on a shelf dataset, along with scripts to run inference and log alerts. Full source code and model weights are provided.
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