Industrial Object Counter Kit
Industrial Object Counter Kit — Predict Peak Hours with AI on Raspberry Pi 5
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine building a system that monitors how many people are in a room, which seats are occupied, and predicts the busiest hours — all running on a Raspberry Pi 5. This kit gives you the sensors, storage, and compute to create an AI-powered resource planning tool for cafeterias, libraries, or offices. You’ll wire real force-sensitive resistors and IR break-beams to stream live data into an LSTM model that forecasts peak demand.
What You'll Build
A real-time people counting and seat occupancy system. You’ll wire force-sensitive resistors (FSR 402) under chair cushions to detect weight, install IR sensor modules at entry points to track foot traffic, and stream the data to a Raspberry Pi 5. The onboard LSTM model learns patterns and predicts peak hours, displayed on a dashboard that helps facility managers allocate resources efficiently. This isn’t a toy — it’s a prototype of the industrial counting systems used in smart buildings.
What You'll Learn
- Connecting multiple analog sensors to a single-board computer
- Preprocessing time-series data from FSRs and IR sensors
- Training and deploying an LSTM model on Raspberry Pi for time series forecasting
- Building a live dashboard to visualize sensor data and predictions
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | x1 |
| FSR 402 | x8 |
| IR Sensor Module | x2 |
| NVMe SSD 128GB | x1 |
| Pi 5 M.2 HAT+ | x1 |
| USB-C PSU | x1 |
| M-M Wires | x30 |
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 targets engineering students (B.Tech ECE/EEE/CS), diploma students working on IoT projects, and participants in Smart India Hackathon or similar competitions. If you’re building a project for college or want hands-on experience with industrial sensor fusion and edge AI, this kit removes the guesswork. Hobbyists interested in smart home automation will also find the sensor array valuable.
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 access the AI companion for step-by-step troubleshooting, or reach us on WhatsApp for direct help from a Compoden engineer.
Do I need prior machine learning experience?
No. The AI companion walks you through installing the required libraries and training the LSTM model, even if you’re new to ML.
Can I use this kit to count people in a room with a single entrance?
Yes. Position the two IR sensors at slightly different heights or angles; the AI companion explains how to derive direction for accurate entry and exit counts.
What if a sensor is damaged during assembly?
If the damage is due to a manufacturing defect, we’ll replace the faulty part free within 7 days. Contact our support team through WhatsApp or email.
Industrial Counting — 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