Pi 5 Autonomous Forklift Vision System
Raspberry Pi 5 Autonomous Forklift Vision System Kit: YOLO Pallet Detection & ArUco Marker Navigation
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 forklift into an intelligent, self-navigating machine with real-time computer vision. This advanced kit equips you to deploy YOLOv8-based pallet detection and ArUco marker localisation on the Raspberry Pi 5 AI HAT+, enabling warehouse-grade autonomous navigation from your workbench. Ideal for final-year engineering projects, Smart India Hackathon challenges, and research in industrial automation.
What You'll Build
You'll assemble a complete vision pipeline that detects pallets in warehouse environments and localises the forklift using fiducial markers, feeding navigation commands over GPIO. The system processes live camera feeds at high speed on the AI HAT+, logging data to NVMe storage for real-time decision making.
What You'll Learn
- Deploy YOLO object detection models on edge hardware
- Implement ArUco marker-based pose estimation for robotics
- Interface Pi Camera Module 3 Wide with AI HAT+ for low-latency inference
- Build a real-time autonomous navigation pipeline using Raspberry Pi 5
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Raspberry Pi AI HAT+ | 1 |
| Pi Camera Module 3 Wide | 1 |
| NVMe SSD 512GB | 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 |
Who This Kit Is For
Purpose-built for B.Tech ECE, EEE, and CSE students tackling final-year projects in autonomous robotics, Smart India Hackathon participants working on warehouse automation, and research teams at IITs, NITs, VIT, BITS Pilani experimenting with edge AI. If you're looking to bridge the gap between classroom theory and an industry-grade demo, this is your launchpad.
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?
Our AI companion, trained on this exact project, provides step-by-step debugging guidance. You can also reach us via WhatsApp for direct engineer support.
Do I need prior experience with YOLO or ArUco markers?
The AI companion includes setup scripts and model conversion steps. While some Python and Linux familiarity is helpful, our guided workflow reduces the learning curve significantly.
Can I use this kit for a competition like Smart India Hackathon?
Absolutely. The vision pipeline is modular and can be adapted to different warehouse scenarios. Many students have successfully used Compoden kits for SIH and other national-level contests.
What kind of forklift platform does this kit support?
The vision system is independent and outputs navigation commands via GPIO or UART. You can integrate it with any electric forklift model capable of receiving external control signals, or test on a scaled-down robotic platform.
YOLO pallet detection and ArUco marker localisation on Pi 5 AI HAT+ guides autonomous forklift navigation.
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