Raspberry Pi 5 Wildlife Camera Trap Kit
Wildlife Camera Trap Kit v21 - Raspberry Pi 5 Edge AI Plant Disease Classifier
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Point a camera at a plant leaf, and a Raspberry Pi 5 identifies the disease offline. This kit turns TensorFlow Lite's PlantVillage classifier into a portable field tool that helps farmers, students, and wildlife researchers spot early blight, leaf mold, and more - no cloud, no delays, just actionable results on a tiny OLED screen. Ideal for agricultural monitoring, environmental science projects, or adapting to a traditional camera trap for animal detection.
What You'll Build
A weather-resistant, battery-ready edge AI device that captures 4056�3040 stills through a Pi Camera Module 3, runs a TensorFlow Lite model stored on NVMe SSD, and displays disease predictions instantly. Mount it on a tree to check crop health across a plot, or use the same hardware as a motion-triggered wildlife camera - the build is yours to expand.
What You'll Learn
- How to deploy a quantized TFLite classifier on a Raspberry Pi 5 using Python
- Working with the Pi Camera Module 3 and tuning autofocus for macro leaf shots
- Setting up NVMe SSD boot via the M.2 HAT+ for fast model loading and image storage
- Integrating a 0.96-inch OLED display to show real-time inference output
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| 0.96in OLED | 1 |
| USB-C PSU | 1 |
| M-M Wires | 10 |
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
Designed for B.Tech ECE/EEE students prototyping robotics or IoT projects, Smart India Hackathon participants building agri-tech solutions, and CBSE Class 11-12 students exploring computer vision. Wildlife enthusiasts will also find the hardware ready for motion-triggered camera builds with minor code tweaks. No prior TensorFlow experience needed, but you should be comfortable with Raspberry Pi terminal commands.
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?
Pull up the QR code on your box for the AI build companion, which walks you through wiring, model loading, and debugging. If you still need help, our WhatsApp support replies within a few hours.
Can this kit be used as a traditional wildlife camera trap for animals?
Yes, the same hardware can be reprogrammed. The Pi Camera Module 3 captures high-resolution images, and you can load a motion-detection script to trigger shots; the NVMe SSD provides ample storage for weeks of captures.
Which plant diseases does the model detect?
The pre-trained PlantVillage classifier recognizes 38 classes including early blight, late blight, leaf mold, septoria leaf spot, powdery mildew, and healthy leaves in crops like tomato, potato, and pepper. You can retrain with your own dataset using the SSD storage.
Do I need an internet connection in the field?
No. Inference runs entirely on the Raspberry Pi 5 using TensorFlow Lite, so you can classify leaves in remote areas with no connectivity. The OLED shows results instantly offline.
Wildlife - TFLite plant disease classifier trained on PlantVillage dataset identifies leaf diseases from Pi camera images.
What's in this kit
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