Pi 5 AI Waste Classifier Dustbin
Pi 5 AI Waste Classifier Dustbin – Build a Smart Bin That Sorts Trash Using Edge AI
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Every year, India generates millions of tonnes of mixed waste that could be recycled if sorted at source. With this kit, you’ll build a functional dustbin that uses a camera and AI to identify whether trash is biodegradable, recyclable, or hazardous—then automatically opens the correct bin compartment using servo motors. It’s a practical edge AI project that turns a real-world civic problem into a working prototype.
What You'll Build
A three-compartment dustbin controlled by a Raspberry Pi 5 with a Pi Camera Module 3. When waste is held in front of the camera, a MobileNetV2 model classifies it in real time and triggers one of three SG90 servos to open the right lid. You’ll have a fully working prototype that demonstrates practical AI at the edge—ideal for hackathons, school exhibitions, or B.Tech project demonstrations.
What You'll Learn
- Train and deploy a MobileNetV2 image classification model on Raspberry Pi 5 using TensorFlow Lite
- Interface Raspberry Pi Camera Module 3 for real-time image capture and preprocessing
- Control servo motors with GPIO PWM to actuate lids based on AI predictions
- Set up NVMe SSD for fast model storage and boot, and configure the Pi 5 for high-speed inference
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| SG90 Servo | 3 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
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 designed for intermediate makers aged 16 and up, especially CBSE Class 11-12 students pursuing AI or computer science projects, B.Tech ECE/EEE students working on smart city or Swachh Bharat hackathons, and engineering teams at IIT, NIT, VIT, BITS, and ATL Tinkering Labs that need a ready-to-demo waste classification prototype. It bridges the gap between theoretical ML and a hands-on embedded system.
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?
Open the AI companion via the QR code on the box for step-by-step debugging, or message us on WhatsApp for direct guidance from the Compoden team.
Do I need prior experience with TensorFlow or Raspberry Pi?
No, the kit includes a pre-trained MobileNetV2 model and a comprehensive guide. The AI companion can explain every concept and command, making it suitable even if it’s your first ML deployment.
Can I retrain the model to recognise custom waste categories?
Absolutely. The provided scripts let you fine-tune MobileNetV2 on your own images. The AI companion will walk you through data collection, labelling, and retraining.
What if a servo or camera fails to work?
All parts are pre-tested together, so failure is rare. If a manufacturing defect occurs, we replace it free within 7 days. Just reach out on WhatsApp for immediate troubleshooting.
MobileNetV2 on Pi 5 classifies waste as biodegradable, recyclable or hazardous and opens corresponding servo bin lid.
What's in this kit
- Raspberry Pi 5 4GB
- Pi Camera Module 3
- SG90 Servo x3
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x20
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