Classroom Engagement Camera Kit v9:AI Table Football Analytics on Pi 5
Classroom Engagement Camera Kit v9 - AI-Powered Table Football 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.
Transform a standard table football into a smart analytics system that automatically detects offsides, tracks ball and player movements, and updates scores - all processed locally on a Raspberry Pi 5 with an overhead camera. This kit gives every aspiring robotics engineer a complete computer vision pipeline that runs directly on the edge, no cloud required.
What You'll Build
You'll assemble the hardware, mount the Pi Camera Module 3 Wide above the table, and deploy a YOLOv8 model that tracks the ball and each player in real time. The 7-inch HDMI display shows a live feed with bounding boxes, offside alerts, and automatic score updates, turning a casual game into a data-driven experience that you can demonstrate in classrooms, hackathons, or lab evaluations.
What You'll Learn
- Deploy YOLOv8 object detection on Raspberry Pi 5 for edge AI inference
- Calibrate a wide-angle camera for top-down sports field mapping
- Program offside detection algorithms using spatial player coordinates
- Integrate computer vision output with a live scoreboard dashboard on an HDMI display
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
Designed for advanced CBSE Class 11-12 students pursuing AI electives, B.Tech ECE/EEE undergraduates, Smart India Hackathon participants, and ATL Tinkering Lab mentors who want a hands-on computer vision project that solves a real-world sports analytics problem. The kit bridges classroom theory and practical implementation at the intersection of AI and IoT.
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?
Open the AI companion via the QR code or reach out on WhatsApp for immediate troubleshooting; it knows every step of this specific kit setup.
Do I need a table football table to get started?
The kit works with any standard table football; calibration guidelines for different table sizes are built into the companion to ensure accurate tracking from the first match.
How accurate is the YOLOv8 tracking?
With proper lighting and camera mounting above the table, detection accuracy exceeds 90%. The AI companion includes real-time tips to fine-tune confidence thresholds and anchor boxes.
Do I need prior experience with Python or object detection?
Familiarity with Python helps, but the AI companion walks you through every line of code, from installing YOLOv8 to modifying the offside rule logic, so you can learn by building.
Education Analytics - 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