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Classroom Engagement Camera Kit v21
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Raspberry Pi 5 Classroom Engagement Kit - MediaPipe Hands Edge AI

SKU: CDN-KIT-4190 Brand: Compoden Category: Electronics > Edge AI & Computer Vision > Project Kits
Rs. 32,190.00
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Build a Classroom Engagement Camera with Raspberry Pi 5 and MediaPipe Hands

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Intermediate Build Time: 4-5 hrs Age: 16-21 Skill: Computer Vision & Embedded AI

Turn a simple hand raise or gesture into actionable classroom data-without cloud dependencies. This kit equips you to build a compact edge AI camera that runs MediaPipe Hands locally on a Raspberry Pi 5, tracking 21 hand landmarks in real time and converting gestures into relay and LED outputs. Designed for education analytics, it gives teachers and students a tangible way to measure participation, automate attendance triggers, or create interactive quizzes.

What You'll Build

You'll assemble a standalone vision system around the Pi Camera Module 3 and Pi 5. Once powered, the system continually scans for hand landmarks and responds instantly: a thumbs-up lights a green LED via relay, a closed fist logs a student's response. The NVMe SSD stores gesture logs for later analysis, and the entire pipeline runs offline on the edge.

What You'll Learn

  • Run real-time hand landmark detection on the Pi 5's AI accelerator
  • Integrate MediaPipe Hands for 21-point skeletal tracking
  • Map custom gestures to physical outputs using relays and LEDs
  • Deploy a standalone edge AI vision system with NVMe fast storage

Kit Contents

Component Quantity
Raspberry Pi 5 4GB 1
Pi Camera Module 3 1
5V Relay Module 2
LED Assorted 5
NVMe SSD 128GB 1
Pi 5 M.2 HAT+ 1
USB-C PSU 1
M-M Wires 15

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

This kit is built for intermediate makers who want to explore computer vision on the edge. It fits perfectly into CBSE Class 11-12 computer science projects, B.Tech ECE/EEE/CSE coursework, Smart India Hackathon prototypes, and ATL Tinkering Labs. Students at IIT, NIT, VIT, BITS, and similar institutions will find the gesture-to-output mapping a compelling demonstration of embedded AI.

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 box to launch the AI companion, which guides you step by step. If you need human help, message us on WhatsApp-we reply within a few hours.

Does the kit come with a pre-trained gesture model?

MediaPipe Hands is pre-trained and ready to use. You'll configure it directly on the Pi 5 using our guide, no separate model training needed.

Can I log gestures for classroom analytics?

Yes, the NVMe SSD stores gesture logs locally. We walk you through a Python script that exports timestamps and gesture IDs as CSV files for your analysis.

What kind of gestures can it recognise?

Any hand pose with distinguishable landmark positions-open palm, fist, thumbs up, counting fingers. You define which gesture triggers each relay or LED in the code.

Education Analytics - MediaPipe Hands tracks 21 hand landmarks in real time on Pi 5 - map gestures to relay and LED outputs.

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

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