Classroom Engagement Camera Kit v30
Classroom Engagement Camera Kit v30 — Build a Devanagari Handwriting Recognition System 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.
This kit lets you build a camera that snaps handwritten Devanagari letters and classifies them in real-time using a convolutional neural network. Ideal for automating Hindi handwriting assessment in classrooms or building an India-specific OCR tool. You'll train a CNN on a dataset of Devanagari characters, then deploy it on Raspberry Pi 5 to recognize letters through the Pi Camera Module 3.
What You'll Build
A compact camera system that captures handwritten Hindi letters, runs a custom CNN on a Raspberry Pi 5, and displays the recognized character. The system uses an NVMe SSD for fast storage of the training dataset and model, housed with the M.2 HAT+. A desk lamp ensures consistent lighting for accurate recognition.
What You'll Learn
- Train a convolutional neural network on a Devanagari character dataset
- Deploy a TensorFlow or PyTorch model on Raspberry Pi 5 with hardware acceleration
- Integrate the Pi Camera Module 3 for real-time image capture and preprocessing
- Optimise inference speed on edge AI hardware using the NVMe SSD and M.2 HAT+
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| Desk Lamp | 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
This kit is designed for CBSE Class 11–12 students exploring AI electives, B.Tech ECE/CS undergraduates working on Smart India Hackathon projects, and ATL Tinkering Lab mentors guiding Devanagari OCR experiments. It's also a hands-on addition to IIT/NIT/VIT/BITS curriculum modules on edge 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?
The AI companion provides real-time, step-specific guidance; you can also reach our WhatsApp support for human help within working hours.
Do I need prior experience with deep learning?
Some familiarity with Python and basic machine learning concepts helps, but the AI companion walks you through dataset preparation and CNN training step-by-step.
Can I extend this to recognize other Indian scripts?
Absolutely. Once you understand the pipeline, you can train the CNN on Tamil, Telugu, Bangla, or any script by swapping the dataset; the companion offers tips on adapting the preprocessing.
What if the camera struggles with variable handwriting or lighting?
The included desk lamp gives consistent illumination. The companion also shows you how to apply thresholding and contrast enhancement to improve recognition accuracy.
Education Analytics — CNN trained on Devanagari characters classifies handwritten Hindi letters from Pi camera — India-specific OCR project.
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