Raspberry Pi 5 DeepLabV3 MobileNet Camera Kit - Real-Time Segmentation
Raspberry Pi 5 DeepLabV3 MobileNet Classroom Engagement Camera Kit for Real-Time Scene Parsing
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 camera that understands every pixel of a scene. The Classroom Engagement Camera Kit v37 equips you to run DeepLabV3 MobileNet in real time, segmenting road, sky, building, and person classes at 10 frames per second - a full-scene parsing engine ready for education analytics, campus monitoring, and hackathon prototypes.
What You'll Build
A portable computer vision rig with a 7-inch live-feed display, capturing and classifying each pixel into meaningful semantic regions. Use it to track pedestrian density in campus corridors, analyse outdoor study spaces, or prototype a smart attendance system that automatically segments persons from the background. The system runs entirely on the edge, with inference accelerated by the Pi 5 and model files stored on a high-speed NVMe SSD for reliable 10fps throughput.
What You'll Learn
- Deploy a TensorFlow Lite semantic segmentation model on Raspberry Pi 5 and optimise it for consistent 10fps inference.
- Configure the Pi 5 M.2 HAT+ with NVMe SSD to eliminate microSD bottlenecks, ensuring smooth model loading and video frame caching.
- Interface the Pi Camera Module 3 and a 7-inch HDMI display to create a self-contained edge AI vision prototype.
- Apply scene parsing concepts to education analytics use cases such as occupancy monitoring, crowd flow analysis, and behaviour classification.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| 7in HDMI Display | 1 |
| HDMI Cable | 1 |
| USB-C PSU | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify voltage levels, camera driver compatibility, and boot from NVMe | Pre-tested as a system: Pi 5 boots directly from the pre-flashed SSD, camera operates immediately |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project, plus tested model scripts and a ready-to-deploy OS image |
| Time to first working build | Days of debugging driver and dependency conflicts | Hours, with step-by-step guidance that gets segmentation running on the display quickly |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This advanced kit is built for engineering undergraduates and postgraduate students in B.Tech ECE, CSE, or AI specialisations who need a capstone project or a tool for Smart India Hackathon challenges. It is also suitable for ATL Tinkering Lab coordinators demonstrating real-world AI on the edge, and researchers at IITs, NITs, or VIT exploring computer vision for campus analytics. If you are comfortable with Linux and basic Python, this kit accelerates your path from idea to a working prototype.
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 inside the box to launch the AI companion, which walks you through every step with context-aware answers. You can also reach us on WhatsApp for direct help from our team.
Can I train the model on my own dataset for different segmentation classes?
Yes, the provided DeepLabV3 MobileNet can be fine-tuned with your custom dataset. The kit's NVMe speed allows rapid experimentation with retrained TFLite models.
Does this kit come with the OS and model pre-installed?
The NVMe SSD arrives pre-flashed with Raspberry Pi OS and the segmentation pipeline, so you can power on and start testing inference within the first hour of assembly.
Can I use this kit outdoors for real-time campus monitoring?
Absolutely. The self-contained 7-inch display and USB-C PSU make it portable. Pair it with a standard power bank (not included) and you can deploy it in open areas to segment scenes on the move.
Education Analytics - DeepLabV3 MobileNet on Pi 5 segments road, sky, building and person classes at 10fps from camera - full scene parsing.
What's in this kit
- Raspberry Pi 5 8GB
- Pi Camera Module 3
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- 7in HDMI Display
- HDMI Cable
- USB-C PSU
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