Classroom Engagement Camera Kit v4
Classroom Engagement Camera Kit v4: Train a Pi 5 Robot to Drive Like You Using Behaviour Cloning
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit transforms education analytics into hands-on AI. You'll build a Raspberry Pi 5 robot that watches your steering commands through a wide-angle camera, then clones your behaviour to navigate a track autonomously. It's the same imitation learning principle used in self-driving research, wrapped into a classroom-ready project that makes machine learning tangible.
What You'll Build
An autonomous robot on a chassis, powered by a Raspberry Pi 5 and Pi Camera Module 3 Wide. You'll drive it manually along a track while it records image frames and your steering inputs as training data. A behaviour cloning neural network then learns to map camera images directly to motor commands, letting the robot drive the same track on its own — exactly like you demonstrated. The NVMe SSD ensures fast dataset storage and model training without SD card bottlenecks.
What You'll Learn
- Collect synchronized camera frames and motor commands for imitation learning datasets
- Train a convolutional neural network for end-to-end steering policy on the Raspberry Pi 5
- Deploy a real-time inference pipeline using the Pi Camera and Cytron Motor Driver
- Evaluate behaviour cloning performance through lap time consistency and path tracking accuracy
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 Wide | 1 |
| Cytron Motor Driver | 1 |
| DC Motor | 2 |
| Robot Chassis | 1 |
| NVMe SSD 256GB | 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 CBSE Class 11-12 students exploring AI as a skill elective, B.Tech ECE/CSE undergraduates building capstone projects, and teams preparing for Smart India Hackathon. It also fits ATL Tinkering Labs seeking advanced robotics modules and students at IIT, NIT, VIT, and BITS Pilani who want a ready-to-train imitation learning platform without sourcing components across multiple vendors.
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 included with the kit to instantly access the AI build companion, which provides step-by-step wiring diagrams, Python scripts for data collection, and troubleshooting tailored to this exact kit. For additional help, you can message us on WhatsApp — a real engineer responds, not a bot.
Do I need prior machine learning experience to use this kit?
No. The guided notebook walks you through data collection, training a simple convolutional network using TensorFlow or PyTorch, and deploying the model on the Pi 5. It assumes familiarity with Python, but the AI concepts are explained from scratch with a focus on behaviour cloning for steering.
How many laps of demonstration data are needed for reliable behaviour cloning?
Typically 5-10 clean laps produce a policy that generalises well on a simple indoor track. The wide-angle camera helps capture more context per frame, reducing the amount of data required compared to a standard camera. The NVMe SSD allows you to record high-resolution images at full framerate without I/O lag.
Can I reuse the components for other computer vision projects?
Absolutely. The Raspberry Pi 5, Pi Camera Module 3 Wide, motor driver, and chassis are standard components. After completing the behaviour cloning project, you can repurpose them for gesture recognition, lane-keeping with PID control, or any other mobile robotics idea — the AI companion even includes suggestions for next-step projects.
Education Analytics — Behaviour cloning on Pi 5 learns steering policy from human demonstrations — robot drives a track like the human demonstrated.
What's in this kit
- Raspberry Pi 5 4GB
- Pi Camera Module 3 Wide
- Cytron Motor Driver
- DC Motor x2
- Robot Chassis
- NVMe SSD 256GB
- 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