Smart Doorbell Camera Kit v8 - Build an AI Table Football Referee with Raspberry Pi 5
Smart Doorbell Camera Kit v8 - Turn a Foosball Match into an AI-Powered Arena with 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.
Turn every table football game into a fair, high-tech showdown. This kit equips a standard foosball table with a smart camera referee that watches the ball and the players in real time. Using YOLOv8 on a Raspberry Pi 5, the system flags offside positions, counts goals automatically, and displays the score instantly on a bright 7-inch screen. No more manual scorekeeping or disputed offside calls - just pure, trackable play.
What You'll Build
You'll assemble a standalone referee module that mounts above any table football setup. The Pi Camera Module 3 Wide captures a top-down view of the playfield. Custom YOLOv8 inference running on the Pi 5 identifies the ball and each player figure. When the ball crosses the goal line or a player moves into a forbidden zone before the ball, the system registers a goal or an offside and updates the scoreboard. All data - frames, logs, and recorded matches - sits on the included 128GB NVMe SSD so you never run out of space.
What You'll Learn
- Set up Raspberry Pi 5 with NVMe SSD via M.2 HAT+ for fast storage and boot
- Train and deploy a YOLOv8 object detection model on live camera feed
- Implement rule-based logic for offside detection and goal scoring in a dynamic two-player game
- Design a real-time score overlay on a 7-inch HDMI display using Python
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 Wide | 1 |
| 7in HDMI Display | 1 |
| HDMI Cable | 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
Built for intermediate makers who have tinkered with Raspberry Pi before and want to push into real-time AI vision. Ideal for B.Tech ECE/EEE students tackling a Smart India Hackathon problem statement on sports analytics, CBSE Class 11-12 AI elective projects, or ATL Tinkering Lab mentors looking for a ready-to-demo computer vision system. If you've ever wanted to combine hardware, Python, and machine learning into one tangible outcome, this is your launchpad.
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 inside your box to open the AI companion; it knows every wire, every code block, and every common pitfall. You can also message us on WhatsApp - a real engineer, not a chatbot, will reply within a few hours during IST working hours.
Can I use this kit for a doorbell camera too?
Absolutely. The hardware is exactly what you'd need for a smart doorbell with person detection. The AI companion includes an alternate guide for setting up a doorbell feed with motion alerts - you're not locked into one application.
Do I need to train the YOLOv8 model from scratch?
No. The companion provides a pre-trained weights file tuned for a typical foosball table layout, plus a script to fine-tune it with a few images of your own table if the lighting or field colors differ.
Is the display large enough to read scores from across the table?
The 7-inch HDMI display with a high-contrast scoreboard layout is easily visible from both ends of a standard table football unit. You can also mirror the output to a larger monitor if you prefer.
Doorbell Security - YOLOv8 tracks ball and player positions on Pi 5 - automated offside detection and score tracking for table football.
What's in this kit
- Raspberry Pi 5 4GB
- Pi Camera Module 3 Wide
- 7in HDMI Display
- HDMI Cable
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
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