Classroom Engagement Camera Kit v20
Classroom Engagement Camera Kit v20 – Real-Time Object Detection 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 a Raspberry Pi 5 into a real-time classroom analytics camera. This kit combines a high-speed NVMe SSD and Pi Camera Module 3 to run YOLOv8 Nano object detection at 30fps. The live annotated video stream reveals exactly what the model sees, making it a practical tool for education engagement studies.
What You'll Build
A compact Edge AI camera that captures classroom scenes, processes frames with YOLOv8 Nano on the Raspberry Pi 5, and displays bounding boxes with labels in real time. Annotated footage writes to the NVMe SSD for later review. Use it to gauge student attention, count participants, or map movement patterns without any cloud dependency.
What You'll Learn
- Deploy YOLOv8 Nano on Raspberry Pi 5 for live object detection
- Configure NVMe SSD storage to accelerate model loading and data logging
- Interface the Pi Camera Module 3 to capture and process video frames
- Annotate live video with bounding boxes and labels using Python and OpenCV
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 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
College students pursuing B.Tech in ECE or EEE will find it ideal for computer vision lab work and Smart India Hackathon entries. CBSE Class 12 students with a Python background can build a complete AI project for their practical assessments. ATL Tinkering Lab mentors and IIT/NIT/VIT/BITS teams exploring Edge AI will also get a ready-to-deploy system.
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 kit box to access the AI companion, which guides you through each step. You can also reach our team on WhatsApp for direct troubleshooting.
Do I need a separate display to view the output?
Yes, you will need an HDMI monitor or TV to see the live annotated video feed. All other core components are included in the kit.
Can I train the model to detect custom objects for my classroom?
Absolutely. The kit ships with a pre-trained YOLOv8 Nano model, but the AI companion provides resources to help you retrain on your own dataset for specific engagement cues.
Will this work for other computer vision applications besides classroom analytics?
Yes. The same setup can be adapted for home security, wildlife monitoring, or any real-time object detection project you have in mind.
Education Analytics — YOLOv8 Nano detects objects in real time on Raspberry Pi 5 — 30fps on NVMe, USB camera, live annotated display.
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