Retail Footfall Camera Kit v26
Retail Footfall Camera Kit v26 — YOLOv8-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.
Stores lose revenue every time a shelf sits empty while staff are elsewhere. This kit turns a Raspberry Pi 5 into a 24/7 shelf‑watching camera that runs YOLOv8 object detection, spots gaps where products should be, and instantly logs a restocking alert. The result isn't just a project — it's a deployable retail analytics tool you can extend for real‑world use in kirana stores, supermarkets, or hackathon demos.
What You'll Build
You'll assemble a compact camera unit powered by a Raspberry Pi 5 and a wide‑angle Pi Camera Module 3. After following the AI companion's guided setup, the camera will stream video, run a YOLOv8 model tuned for shelf product detection, and push an alert whenever it identifies an empty slot. All inference runs on‑device, so there's no cloud dependency — just an NVMe SSD storing high‑speed model files and alert logs.
What You'll Learn
- Deploying and optimizing a YOLOv8 model on a Raspberry Pi 5 for real‑time object detection
- Configuring the Pi Camera Module 3 Wide to cover full shelf rows with minimal distortion
- Building a practical alert pipeline that logs empty‑shelf events and triggers restocking notifications via Telegram or email
- Integrating an NVMe SSD over the Pi 5 M.2 HAT+ for fast model loading and reliable data logging
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
B.Tech ECE/EEE students building retail automation projects, CBSE Class 11–12 learners adding an AI with Python component to their practical exams, and teams preparing for Smart India Hackathon retail-tech tracks will find this kit directly useful. ATL Tinkering Labs that want a real‑world computer vision demo can run it straight out of the box.
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 open the AI companion trained on this exact kit; it’ll walk you through each step. You can also message us on WhatsApp for direct help.
Does the kit include a shelf dataset for YOLOv8?
The AI companion guides you to source a sample retail shelf dataset and train a custom YOLOv8 model, or you can use a ready‑to‑run pre‑trained model supplied through the companion.
Can I make restocking alerts reach my phone?
Yes, the build companion includes code snippets to send alerts via Telegram, WhatsApp (through Twilio), or email using SMTP, so you’ll get notifications instantly.
Will the camera work under standard shop lighting?
The Pi Camera Module 3 Wide performs well in typical retail lighting, and the companion covers focus and exposure tuning for different indoor setups.
Retail 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