Pi 5 Satellite Classification Kit - AI Remote Sensing with ISRO Data
Build an Edge AI Satellite Image Classifier on Pi 5 with Real ISRO Imagery
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 a standalone satellite image classification system that runs a fine-tuned ResNet model on authentic ISRO Resourcesat scenes. This kit equips you to load, preprocess, and infer land-use categories like agriculture, water bodies, and urban sprawl directly on the edge - no cloud dependency, just high-speed NVMe storage and 8GB of RAM handling a task once reserved for data centres. It's remote sensing AI brought down to a single-board computer, ideal for fieldwork, hackathon demos, or your own geospatial research pipeline.
What You'll Build
You'll assemble a compact inference workstation that pulls ISRO satellite tile sets, runs them through a ResNet-18 model fine-tuned on Resourcesat-2 LISS-IV imagery, and outputs pixel-level land-use classification maps in near real time. The build culminates in a portable system that you can demonstrate to professors, judges, or collaborators as a working example of computer vision for Indian earth observation.
What You'll Learn
- Fine-tune a ResNet backbone on multispectral satellite patches using transfer learning
- Configure a Raspberry Pi 5 with NVMe SSD for high-throughput model and dataset storage
- Benchmark edge inference performance and optimise for arm64 architectures
- Visualise classification results on actual ISRO Resourcesat scenes and interpret land-use patterns
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| NVMe SSD 512GB | 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
This advanced kit is designed for B.Tech ECE, EEE, and CSE students at IITs, NITs, VIT, BITS Pilani, and similar institutions who want a semester project or Smart India Hackathon prototype grounded in real Indian remote sensing data. It also suits research scholars and professionals exploring edge AI for geospatial analysis, and ATL Tinkering Lab mentors guiding advanced student groups beyond beginner electronics.
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?
Use the AI companion to step through model conversion, inference script debugging, or performance tuning. If the companion doesn't resolve the issue, a WhatsApp message gets you direct engineer support.
Where do I get the ISRO Resourcesat dataset?
The AI companion provides authorised download links and preprocessing scripts for Resourcesat-2 LISS-IV tiles from the Bhuvan portal, along with guidance on selecting cloud-free patches for training.
Can the Pi 5 really run a ResNet for satellite classification?
Yes, with the 8GB RAM and NVMe SSD, the Pi 5 handles the fine-tuned ResNet-18 at over 3 frames per second for 224x224 input patches - more than enough for offline inference and live demos.
Why do I need a 512GB NVMe SSD for this project?
The ISRO dataset tiles, preprocessed patches, and model checkpoints easily exceed 100GB. The NVMe drive ensures fast I/O so loading high-resolution satellite scenes doesn't stall your pipeline or corrupt inference timing.
ResNet fine-tuned on ISRO Resourcesat imagery classifies land use on Pi 5 - remote sensing AI with real Indian satellite data.
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