Raspberry Pi 4 Camera Lane Detection & Object Tracking Robot Kit
Raspberry Pi 4 Lane Detection Robot Car Kit - Real-Time Object Tracking at 25fps
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 standard robot car chassis into an intelligent vision system that can identify painted lanes and track moving objects in real time. This kit equips engineering students and hackathon participants with a complete hardware and software stack for the Smart India Hackathon or final-year projects requiring edge AI. The Raspberry Pi 4 processes the Camera Module 3 feed at 25fps, delivering low-latency analytics without cloud dependency.
What You'll Build
You will assemble a four-wheel drive platform with a top-mounted Pi Camera that autonomously follows a lane marked on the floor. Once the Python scripts are loaded, the robot car navigates while streaming annotated video with bounding boxes around detected objects, ideal for classroom demonstrations of computer vision and control theory.
What You'll Learn
- Implement real-time lane detection using OpenCV on a Raspberry Pi 4
- Apply object tracking algorithms like CSRT or KCF to maintain lock on moving targets
- Design a power distribution circuit using an LM2596 buck converter and filter capacitors to isolate motor noise from the single-board computer
- Calibrate a DC geared motor drivetrain with an L298N H-Bridge for precise steering commands
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 4 Model B 4GB | 1 |
| Pi Camera Module 3 | 1 |
| L298N Driver | 1 |
| DC Geared Motor 12V | 2 |
| LM2596 Buck Converter | 1 |
| 100nF Caps | 5 |
| 4.7k? Resistors | 5 |
| M-F Wires | 20 |
| MicroSD Card 32GB | 1 |
| 12V 3Ah SLA Battery | 1 |
| Soldering Iron | 1 |
| Solder Wire | 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 |
Who This Kit Is For
Designed for B.Tech ECE, EEE, and CS students working on capstone projects, particularly those targeting the Smart India Hackathon problem statements around autonomous vehicles. Also suitable for research scholars at IIT/NIT/VIT/BITS setting up rapid prototyping labs for edge AI education. If you have completed a basic Raspberry Pi course and are ready to integrate OpenCV with motor control, this kit is your next step.
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 QR code to launch the AI companion trained on this kit; it can guide you through wiring checks, code debugging, and OpenCV dependency installation. For urgent issues, WhatsApp support is available.
Can this kit run TensorFlow Lite for custom object detection models?
Yes, the Raspberry Pi 4's quad-core Cortex-A72 can run quantized TensorFlow Lite models for custom object detection alongside lane detection. The Camera Module 3's 12MP sensor provides clear frames for training and inference.
Is the SD card pre-loaded with the lane detection and object tracking code?
The 32GB microSD card comes with Raspberry Pi OS and the complete Python environment pre-configured. The lane detection and object tracking scripts are pre-loaded, so you can focus on assembly and calibration. The AI companion will walk you through adjusting parameters.
Can I power the robot car with a LiPo battery instead of the provided SLA?
While the kit includes a 12V 3Ah SLA battery for stable voltage, you can substitute a 3S LiPo with appropriate voltage cut-off. The LM2596 buck converter will step down voltage, but ensure the battery can supply at least 2A continuous for motors and Pi. The AI companion can help with power calculations.
Education Analytics - Pi 4 + Camera Module 3 runs real-time lane detection and object tracking at 25fps for a robot car.
What's in this kit
Choose your assembly option:
- Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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