Edge AI Parking Occupancy System Kit with Raspberry Pi 5 and Camera
Build a Live Parking Occupancy Dashboard with Raspberry Pi 5 - Edge AI & Computer Vision Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform a Raspberry Pi 5 into an intelligent parking monitor that detects vehicle presence using computer vision and streams occupancy data to a live web dashboard. This kit is ideal for students and educators exploring real-world analytics with edge AI, as seen in smart campus solutions. Build a system that mirrors parking guidance technology used in malls and IT parks, right on your workbench.
What You'll Build
A fully functional system that uses an overhead Pi Camera Module 3 Wide to capture a top-down view of a parking area. The Raspberry Pi 5 processes images locally with TensorFlow Lite or OpenCV, classifying each space as occupied or empty. A live web dashboard updates every few seconds with a visual map of parking bay status, accessible from any browser on the local network. You'll finish with a working prototype that demonstrates the complete edge-to-dashboard pipeline.
What You'll Learn
- Setting up camera-based computer vision on Raspberry Pi 5 with the wide-angle lens for coverage of larger areas
- Deploying lightweight machine learning models for real-time object detection directly on edge hardware
- Building a responsive web dashboard that streams live occupancy data using Flask and JavaScript
- Optimising storage and boot performance using an NVMe SSD via the M.2 HAT+ for faster model loading and logging
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 Wide | 1 |
| NVMe SSD 128GB | 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
Designed for intermediate learners aged 16-21, this kit suits B.Tech ECE/EEE students working on smart city projects, Smart India Hackathon teams prototyping real-world analytics, and CBSE Class 12 students building computer science investigatory projects. It's also a great addition to ATL Tinkering Labs introducing edge AI concepts.
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 chat with your AI build companion, trained on this exact project, or reach us on WhatsApp for human guidance.
Can I use this kit for other computer vision projects?
Absolutely - the hardware is versatile. You can repurpose the Pi 5 and Camera Module 3 Wide for object tracking, facial recognition, or agricultural monitoring with the right software.
Does the kit include the mounting setup for the overhead camera?
The kit provides the camera module and a short ribbon cable. You'll need to arrange a fixed overhead mount (like a ceiling bracket or tripod) based on your installation environment.
Is the live dashboard accessible over the internet?
The build creates a local web dashboard by default, but with network configuration and port forwarding you can expose it online - a common extension for students demonstrating projects remotely.
Education Analytics - Computer vision on Pi 5 detects occupied and empty parking spaces from overhead camera - updates a live web dashboard.
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