Wildlife Camera Trap Kit v18 - AI Robotics with Progressive Learning on Pi 5
Wildlife Camera Trap Kit v18 - Deploy a Continuously Learning AI System 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.
Transform a Raspberry Pi 5 into an intelligent wildlife monitoring station that not only detects and classifies animals but also uses a robotic arm to interact with its surroundings-deploying bait, adjusting the camera, or performing other manipulation tasks. What sets this kit apart is the PackNet progressive network: a deep learning architecture that learns ten sequential manipulation tasks without catastrophic forgetting, just as a field biologist might gradually expand their observation protocols.
What You'll Build
You'll assemble a fully-integrated system combining a high-resolution Pi Camera Module 3 with a six-servo robotic arm. The onboard AI runs a PackNet continual learning model directly stored on the NVMe SSD, accumulating skills over time. By the end, you'll have a working wildlife camera trap that autonomously snaps images when motion is detected, identifies species with a local classifier, and executes a learned sequence of 10 manipulation tasks-from precise object grasping to gentle placement-all benchmarked for memory retention.
What You'll Learn
- How to implement progressive neural network layers on a Raspberry Pi 5 to prevent catastrophic forgetting across sequential tasks.
- Integration of the PCA9685 servo driver and MG996R servos to control a 6-DOF robot arm with high precision.
- Real-time image capture and species classification using a local model without cloud dependency.
- Benchmarking continual learning performance over 10 distinct manipulation tasks and measuring skill retention.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Pi Camera Module 3 | 1 |
| Servo Driver PCA9685 | 1 |
| MG996R Servo | 6 |
| Robot Arm Kit | 1 |
| NVMe SSD 512GB | 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
Designed for final-year B.Tech students in CSE, ECE, or EEE at IITs, NITs, VIT, or BITS Pilani who need a robust hardware+AI project for their major. It also suits researchers prototyping continual learning on edge devices, Smart India Hackathon participants tackling wildlife conservation themes, and ATL Tinkering Lab mentors preparing advanced robotics modules. If you have solid Python and Linux experience and want to explore the frontier of AI without brittle single-task models, this kit is built for you.
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 from any browser or reach out on WhatsApp. It understands your hardware revision, code syntax, and even robot calibration steps, so you'll get unstuck within minutes.
How does PackNet progressive learning work in this project?
PackNet freezes the core network after each task, then adds a small set of new filters for the next task. This prevents knowledge from older tasks (like pick-and-place) being overwritten when the arm learns to deploy bait. The code you load includes a benchmark suite to measure accuracy across all 10 tasks sequentially.
Can I extend the kit with additional sensors or tasks after the initial build?
Absolutely. The Pi 5's GPIO header, the M.2 SSD capacity, and the modular robot arm allow you to add environmental sensors, extra cameras, or define new manipulation tasks. The AI companion includes guidance on modifying the progressive network to accommodate more skills.
Will the camera trap work without an internet connection?
Yes. Once the model is loaded onto the SSD, species classification runs entirely on-device. Image captures are stored locally, and the robotic arm's control loop does not require connectivity. You only need internet for initial setup and accessing the AI companion.
Wildlife - PackNet progressive network on Pi 5 accumulates skills over lifetime without forgetting - benchmark across 10 sequential manipulation tasks.
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