Classroom Engagement Camera Kit v22 — Turn a Raspberry Pi 5 into an AI-Powered License Plate Reader

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 transforms a Raspberry Pi 5 into an automatic license plate recognition (ALPR) station for education analytics — logging vehicle plates, timestamps, and confidence scores to a local database. With the Raspberry Pi 5's AI processing power and the wide-angle Pi Camera Module 3, you'll capture clear plates even from moving vehicles. All recognition runs locally on the Pi, keeping data private and latency low. Designed for students building campus attendance systems, hackathon projects, or exploring AI at the edge, you'll have a working system that reads plates from a live camera feed in a single afternoon.

What You'll Build

You'll assemble a compact edge-AI device that captures live video through the Pi Camera Module 3 Wide, runs OpenALPR inferences on the Raspberry Pi 5, and stores recognized license plates along with precise timestamps and confidence levels on a high-speed NVMe SSD. You'll create a SQLite database with indexed tables for plates, timestamps, and confidence scores, enabling quick queries for attendance reports or traffic analysis. Every recognized plate is saved with a timestamp down to the second, making it straightforward to generate daily entry logs or trigger alerts for unknown vehicles.

What You'll Learn

• Deploying OpenALPR on a Raspberry Pi 5 with hardware-accelerated inference
• Configuring the Pi Camera Module 3 Wide for consistent plate capture across lighting conditions
• Building a SQLite‑based logging pipeline to store plate data locally on NVMe storage
• Fine-tuning recognition parameters and evaluating real‑world accuracy

Kit Contents