Classroom Engagement Camera Pro Kit with Raspberry Pi 5 + Camera
Classroom Engagement Edge AI Camera Kit – Raspberry Pi 5 + Hailo-8L
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Deploy a real-time classroom engagement monitoring system using MobileNetV2 image classification on the Hailo-8L AI accelerator. Benchmark its 13 TOPS inference against the Raspberry Pi 5’s CPU and discover how edge AI can analyze student attention without cloud latency or privacy concerns. This kit gives you everything to build and compare inference pipelines in a single afternoon.
What You'll Build
A standalone AI camera that captures live classroom scenes, runs MobileNetV2 to classify engagement states like attentive, distracted, or absent, and logs metrics to a dashboard. You’ll have a fully functional edge inference system that processes at high frame rates using the Hailo-8L neural processing unit, all powered by a single USB-C supply. The NVMe SSD stores model logs and analytics data for later review.
What You'll Learn
- Loading and running a MobileNetV2 model on a Hailo-8L NPU via the Raspberry Pi AI HAT+
- Calibrating a Pi Camera Module 3 for image classification input
- Benchmarking inference latency and throughput on NPU vs. CPU using real-time metrics
- Storing inference data and model logs on an NVMe SSD for edge-to-cloud integration
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | x1 |
| Raspberry Pi AI HAT+ | x1 |
| Pi Camera Module 3 | x1 |
| NVMe SSD 128GB | x1 |
| USB-C PSU | x1 |
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 B.Tech ECE/EEE students exploring embedded AI and computer vision, CBSE Class 11-12 students working on AI education projects, Smart India Hackathon teams building attendance or engagement monitoring solutions, and ATL tinkering labs demonstrating real-time edge analytics. Also suited for IIT/NIT/VIT/BITS workshop participants who need a reliable, ready-to-benchmark hardware platform for MobileNetV2.
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 included QR code to access the AI companion trained on this kit; for additional help, reach our support team on WhatsApp.
Can I use this kit with any other AI models besides MobileNetV2?
Yes, the Hailo-8L NPU supports various pre-trained models for classification and detection, and you can deploy custom models using the Hailo Model Zoo.
What performance difference can I expect between the NPU and the Pi 5 CPU?
You’ll benchmark approximately 13 TOPS on the Hailo-8L versus a few frames per second on the CPU, perfect for real-time engagement analytics.
Do I need any additional software to log engagement metrics over time?
No extra purchases; the AI companion guides you through logging inference results to the NVMe SSD for later analysis using Python scripts.
Education Analytics — Hailo-8L on Pi AI HAT+ runs MobileNetV2 image classification at 13 TOPS — benchmark inference vs CPU on Pi 5.
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