Touchless Smart Tap Kit - Raspberry Pi 5 AI Occupancy Dashboard
Touchless Smart Tap Kit - Raspberry Pi 5 AI-Powered Washroom Occupancy Dashboard
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 hands you everything to create an intelligent washroom occupancy monitor that streams live pressure mat and IR beam break data to a Raspberry Pi 5. The onboard LSTM model forecasts peak usage hours and serves a resource planning dashboard - enabling facility managers to schedule cleaning, refill consumables, and optimize staffing. Ideal for demonstrating edge AI in Smart India Hackathon prototypes or final-year B.Tech projects.
What You'll Build
You will assemble a network of eight seat pressure sensors (FSR 402) beneath toilet seats and two IR break-beam sensors at entry points, wired to a Pi 5 with NVMe SSD storage via the M.2 HAT+. The Pi runs a pre-loaded Python script that collects occupancy counts, timestamps events, and trains an LSTM model to predict the next 24 hours of demand. The dashboard refreshes wirelessly, giving you a live people counter and predicted rush heatmap - all without touching a single tap handle in the real facility.
What You'll Learn
- Calibrate and read analog force-sensitive resistors with the Pi's ADC
- Set up IR beam break sensors for bidirectional people counting
- Attach and configure an NVMe SSD via M.2 HAT+ on Pi 5 for fast model training logs
- Implement an LSTM time-series model on edge hardware for real-time prediction
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| FSR 402 | 8 |
| IR Sensor Module | 2 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 30 |
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
Engineering students pursuing B.Tech ECE, EEE, or CSE will find this perfect for Smart India Hackathon hardware tracks or major project submissions. CBSE Class 11-12 students in ATL tinkering labs can use it for AI-based innovation showcases. Faculty at NITs, VIT, BITS Pilani, or state universities can adopt it for IoT/AI lab curricula - the kit scales from a single occupancy monitor to a city-wide public washroom fleet simulation.
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 to chat with our AI companion that knows this exact kit, or message us on WhatsApp for human backup.
Can this kit work without an internet connection?
Yes, the Pi 5 runs everything locally - sensor reading, LSTM training, and dashboard hosting. Internet only needed for initial model download or remote access.
Is the LSTM model included or do I have to code it from scratch?
We provide a pre-annotated Jupyter notebook with the LSTM architecture and training loop, ready to adapt to your dataset.
Can I use this for a college research paper on facility management?
Absolutely. The kit generates time-stamped occupancy data, perfect for predictive analytics and IoT integration papers.
Bathroom - Seat pressure sensors and people counter stream to Pi 5 - LSTM predicts peak hours for resource planning dashboard.
What's in this kit
- Raspberry Pi 5 4GB
- FSR 402 x8
- IR Sensor Module x2
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x30
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