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Retail Footfall Camera Kit v22
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Retail Footfall Camera Kit v22

SKU: CDN-KIT-4196 Brand: Compoden Category: Electronics > Edge AI & Computer Vision > Project Kits
Rs. 44,500.00
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Raspberry Pi 5-Powered Retail Footfall Camera Kit — Automatically Read and Log Car Number Plates

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: 5-6 hrs Age: 16-21 Skill: Edge AI & Database Logging

Walk into a retail store and count every vehicle entering the parking lot without a single manual entry. This kit turns a Raspberry Pi 5 into a live automatic number plate recognition (ANPR) camera. You’ll capture vehicle plates from video, extract the text, and log each detection with a timestamp and confidence score — all on-device, exactly like the systems used in modern retail chains and smart cities.

What You'll Build

You’ll deploy an edge analytics device. The Pi Camera Module 3 Wide feeds wide-angle video into OpenALPR, which reads number plates in real time. Each detected plate is recorded in a local SQL database on the NVMe SSD, creating a searchable retail footfall log. No cloud subscription, no external API — pure on-device intelligence.

What You'll Learn

  • Set up and run OpenALPR on a Raspberry Pi 5 for real-time video processing.
  • Integrate the Pi Camera Module 3 Wide to capture wide-angle parking scenes.
  • Store and query plate data with SQLite on an NVMe SSD for fast, local access.
  • Build a self-contained edge AI dashboard to view daily footfall trends.

Kit Contents

Component Quantity
Raspberry Pi 5 8GB 1
Pi Camera Module 3 Wide 1
NVMe SSD 256GB 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

Ideal for CBSE Class 12 students building AI projects, B.Tech ECE/EEE undergraduates prototyping computer vision solutions, and Smart India Hackathon teams constructing a working parking analytics device. Also fits ATL tinkering labs running advanced IoT and AI workshops with students aged 16 and above.

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 trained on this exact kit; it guides you through each step. If you still need help, message us on WhatsApp for a direct reply from a build expert.

Do I need an internet connection for the plate recognition to work?

No, the entire OpenALPR engine and database run locally on the Raspberry Pi 5. Internet is only required during the initial OS setup and software installation.

Can I export the log of number plates to a spreadsheet?

Yes. The database file is a standard SQLite file; you can open it with any SQLite browser and export to CSV, or write a Python script to automate the export.

Is this kit suitable for a permanent retail store installation?

The kit is a learning platform. While the hardware is capable, a commercial deployment would need a weatherproof enclosure, reliable power backup, and compliance with local surveillance and privacy regulations.

Retail Analytics — OpenALPR on Pi 5 reads car number plates from live video — logs plate, timestamp and confidence to a local database.

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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