Retail Footfall Camera Kit v30: Raspberry Pi 5 Edge AI for Handwritten Hindi OCR
Retail Footfall Camera Kit v30 - Raspberry Pi 5 Edge AI System for Handwritten Hindi Character Recognition
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
In Indian kirana stores and small shops, footfall counting is still done with a pen and Hindi numerals. This kit transforms that manual process into an automated edge AI system. Train a CNN on Devanagari script to classify handwritten characters like ?, ?, ? captured by a Pi camera, and deploy it on a Raspberry Pi 5 - no cloud, instant inference.
What You'll Build
A standalone camera unit that points at a whiteboard where a shopkeeper writes Hindi digits to record customer count. The system captures the image, processes it through a CNN model running on the Raspberry Pi 5, and displays the recognized number on an LED display or logs it via WiFi. You'll have a working prototype for real-world retail analytics that reads real handwritten Hindi script.
What You'll Learn
- Collect and preprocess a Devanagari handwriting dataset for OCR
- Train a convolutional neural network (CNN) using TensorFlow and optimize it for edge deployment
- Integrate Raspberry Pi 5 with Pi Camera Module 3 and NVMe SSD for fast image capture and model inference
- Design a complete edge AI pipeline from camera input to real-time character classification
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
Ideal for B.Tech ECE/CS students working on edge AI projects, CBSE Class 12 students exploring computer vision for their AI elective, Smart India Hackathon participants building retail solutions, and ATL Tinkering Lab mentors introducing embedded machine learning. If you're preparing for a hackathon like SIH or a college project, this kit gives you a finishable, India-relevant prototype in a day.
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?
Your kit includes a QR code that launches an AI build companion trained on this exact project, and you can reach us on WhatsApp for personalized guidance.
Do I need prior machine learning experience?
Some familiarity with Python is helpful, but our AI companion walks you through dataset collection, model training, and deployment step by step.
Can this system work with other Indian scripts like Tamil or Bengali?
The concepts you learn apply to any script. The kit comes with a pre-collected Devanagari dataset, but you can adapt the pipeline to other Indic scripts with additional image samples.
Is the model accurate in real-world lighting conditions?
The included desk lamp ensures consistent lighting for recognition, and the CNN is trained with augmented data to handle minor variations. For fixed-angle setups, accuracy exceeds 95%.
Retail 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