Pi 5 Indoor Localisation System: Build Room-Level Tracking Without GPS Kit
Pi 5 Indoor Localisation System: Build Room-Level Tracking Without GPS
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
You don't need GPS to know which room a device is in. This kit turns your Raspberry Pi 5 into a localisation server that learns the unique signal fingerprints of each room using four ESP32 tags. As you move a tag across a lab, library, or home, the Pi 5's AI model recognises the WiFi RSSI pattern and displays the room location on a dashboard - a practical RF-based indoor positioning system that works entirely offline.
What You'll Build
You'll assemble and configure a fully functional indoor localisation pipeline. Once trained, the system can track up to four ESP32 tags simultaneously and report which room each tag occupies with over 90% accuracy. The dashboard shows real-time locations, and the entire setup is portable enough to redeploy in any building by re-collecting fingerprint samples.
What You'll Learn
- Collecting and normalising WiFi RSSI signal strengths from multiple access points
- Building a fingerprint database that maps RSSI vectors to physical rooms
- Real-time multi-tag tracking using asynchronous MQTT messaging on the Pi 5
- Training and deploying a lightweight machine learning classifier to predict room labels
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| ESP32 Dev Board | 4 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| MicroUSB Cable | 4 |
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 kit is ideal for B.Tech ECE/EEE students working on indoor navigation IoT projects, Smart India Hackathon teams prototyping asset-tracking solutions, and ATL tinkering lab mentors introducing RF-based localisation. CBSE Class 12 computer science students exploring AI/ML will also find the fingerprinting and classification pipeline a rich, real-world deployment experience.
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 and describe your issue to the AI companion. It understands this exact circuit and code. For tricky edge cases, our WhatsApp support team replies within hours.
How accurate is the room-level tracking?
With careful fingerprint collection, the system regularly achieves above 90% accuracy in distinguishing adjacent rooms. Accuracy improves if you place the ESP32 beacons at fixed, elevated positions and take multiple RSSI samples per room.
Can I track more than four tags?
The included four ESP32 boards are enough to demonstrate multi-tag localisation. The Pi 5 can handle many more simultaneous RSSI scans, and the software architecture is designed to scale - you can add extra ESP32 dev boards later.
Do I need GPS or an internet connection?
No. The entire system runs offline. The Pi 5 scans WiFi signals directly from the ESP32 tags, and the AI inference happens locally. No GPS, cellular connection, or cloud service is required.
WiFi RSSI fingerprinting on Pi 5 localises ESP32 tags to room level - RF-based indoor positioning without GPS.
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