Smart Doorbell Camera Pro Kit with Raspberry Pi 5 + Camera
Smart Doorbell Camera Pro Kit – Build Your Own AI Crop Disease Classifier 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.
Transform a Raspberry Pi 5 into an intelligent plant doctor that can identify common crop diseases in seconds. This kit harnesses the power of on-device AI—running MobileNetV2 on the Pi 5’s AI HAT+—to classify leaf images and display the disease type, turning your electronics bench into a precision agriculture lab. From idea to first inference in under a day, this kit removes the guesswork of sourcing, wiring, and software stack so you can focus on the AI application. Whether you’re solving real-world farming challenges or building for a hackathon, this project delivers a working, deployable edge AI prototype.
What You'll Build
You'll assemble a standalone camera system that captures a leaf’s image and instantly processes it through a pre-trained neural network. The result is a clear disease diagnosis (e.g., Early Blight, Rust, or Powdery Mildew) shown on an external monitor or via simple LED indicators. The compact form factor can later be adapted into a security doorbell shell if desired—giving you a dual-purpose AI camera platform.
What You'll Learn
- Deploy and optimize MobileNetV2 on a Raspberry Pi 5 AI HAT+ accelerator
- Configure the Pi Camera Module 3 for high-resolution still capture under varying light
- Implement a real-time inference pipeline with TensorFlow Lite for microcontrollers
- Control GPIO outputs (LEDs) to signal classification results without a screen
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Raspberry Pi AI HAT+ | 1 |
| Pi Camera Module 3 | 1 |
| 5mm LED | 3 |
| 220Ω Resistors | 5 |
| M-F Wires | 10 |
| MicroSD Card 32GB | 1 |
| USB-C PSU | 1 |
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 |
| Component quality | Mixed sources, risk of counterfeits | Genuine Raspberry Pi and accessories from approved distributors |
Who This Kit Is For
Perfect for B.Tech ECE/EEE final-year students tackling Smart India Hackathon challenges on agriculture or IoT, as well as CBSE Class 12 innovators building AI projects for ATL Tinkering Labs. Researchers at IITs, NITs, or VIT exploring edge AI for crop monitoring will also find this an invaluable, ready-to-go hardware stack.
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?
The AI companion provides step-by-step verification; if you need a human, our WhatsApp support responds within hours. It can even debug your code by reading error messages you share.
Can this kit be used as an actual doorbell camera?
Absolutely. The same hardware can run object detection for visitor monitoring—just swap the trained model. The included camera and AI HAT+ are ideal for that application, and our companion includes a doorbell-camera demo to get you started.
Do I need prior machine learning experience?
Some familiarity with Python and terminal commands is helpful, but our AI companion walks you through model conversion, dependency installation, and GPIO wiring. We also provide a pre-configured SD card image to reduce setup time.
Which crop diseases does the pre-loaded classifier detect?
We provide a MobileNetV2 model trained on a subset of the PlantVillage dataset, covering Tomato, Potato, and Maize diseases. You'll learn to extend it to your own dataset, and the companion explains how to retrain with new images.
Doorbell Security — Pi 5 AI HAT+ runs MobileNetV2 crop disease classifier. Camera captures leaf and shows disease type.
What's in this kit
- Raspberry Pi 5 4GB
- Raspberry Pi AI HAT+
- Pi Camera Module 3
- 5mm LED x3
- 220Ω Resistors x5
- M-F Wires x10
- MicroSD Card 32GB
- USB-C PSU
Other projects you can build
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