Retail Footfall Camera Kit v33
Retail Footfall Camera Kit v33 – Build an AI Waste Sorter with 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.
Retail spaces generate mixed waste daily – from food wrappers to cleaning fluid containers – and manual sorting rarely happens. This kit turns a Raspberry Pi 5 into an intelligent waste classifier that uses a camera and MobileNetV2 to tell biodegradable, recyclable, and hazardous trash apart, then triggers the right servo-driven bin lid. It’s a practical AI deployment that brings autonomous sorting to shop floors and café counters, and gives you a working edge inference system you can study, modify, and scale.
What You'll Build
You end up with a compact, camera-equipped waste station. Place an item under the Pi Camera Module 3, and the model running on the Pi 5 identifies it as biodegradable, recyclable, or hazardous in under a second. The corresponding SG90 servo lifts the correct lid. The entire logic lives on-device – no cloud, no latency – making it a genuine edge AI prototype that’s ready for a shelf, a lab demo, or a hackathon entry.
What You'll Learn
- Train a MobileNetV2 model on a custom waste dataset and convert it for edge inference
- Configure a Raspberry Pi 5 with NVMe SSD boot via the M.2 HAT+ for fast storage
- Connect and control three SG90 servo motors through GPIO to create a physical sorting mechanism
- Build a real-time Python inference pipeline that links camera capture to model output and hardware action
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 project suits B.Tech ECE and CSE students who want a strong edge AI portfolio piece, Smart India Hackathon teams solving retail or sustainability problems, and ATL Tinkering Lab seniors working on computer vision. If you’re a CBSE Class 12 student exploring AI or a NIT/VIT/BITS undergraduate with some Python, you’ll handle the build confidently and gain experience directly applicable to internships in computer vision and IoT.
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 talk to the AI companion trained step-by-step on this kit; you can also send a WhatsApp message for human help.
Do I need deep learning experience?
You’ll need basic Python and comfort with Linux. The kit walks you through training and deploying the model, so intermediate makers often complete it in a weekend.
Can I change the waste categories?
Yes. You’ll learn to collect and label your own images, retrain MobileNetV2, and swap the model on the Pi 5 — the process is fully documented.
Does the system need internet?
No. All inference runs offline on the Pi 5, so the waste sorter works inside a store, a lab, or anywhere without Wi‑Fi.
Retail Analytics — 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