Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5
Build an AI-Powered Object Detector with Raspberry Pi 5 and YOLOv8
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine pointing a camera at your desk and seeing every object labeled in real time — ‘person’, ‘cell phone’, ‘book’, ‘chair’. This kit lets you deploy YOLOv8 on a Raspberry Pi 5 to do exactly that. You will run a quantized YOLOv8n model on a USB webcam feed, detect 80 common object classes, and stream bounding boxes onto an HDMI display, giving you genuine edge AI inference that works locally without cloud dependency.
What You'll Build
A complete computer vision system: the USB webcam captures live video, the Pi 5 processes frames through the Hailo-8L NPU with the optimized YOLOv8 model, and your HDMI monitor shows every detected object framed and labeled in real time. You’ll end up with a ready-to-demonstrate device that can identify people, pets, vehicles, electronics, and dozens of everyday items — all processed on-device at high speed.
What You'll Learn
- Setting up Raspberry Pi 5 with the latest OS, camera drivers, and NPU tools
- Deploying a YOLOv8n model using the Hailo-8L AI accelerator for edge inference
- Integrating OpenCV to capture webcam frames and draw detection overlays
- Displaying real-time object detection with bounding boxes and class labels on HDMI
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| USB Webcam | 1 |
| HDMI Cable | 1 |
| USB-C PSU | 1 |
| MicroSD Card 32GB | 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
Targeted at CBSE Class 11–12 students exploring AI and computer science, B.Tech ECE/EEE undergraduates who want hands-on edge AI experience, and Smart India Hackathon teams building real-time vision prototypes. It fits neatly into ATL Tinkering Lab activities and college project work at IITs, NITs, VIT, and BITS, assuming you have basic Python and command-line comfort. If you’ve tinkered with Arduino or simple scripts and are ready to step into machine learning on the edge, this kit gives you a structured pathway.
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 on the kit box to access the AI build companion trained for this exact project; it walks you through every step. If you need human support, message us on WhatsApp — we reply within hours.
Do I need prior experience with AI or Raspberry Pi?
This kit is intermediate-level; basic Python and Linux command-line familiarity help. The AI companion and clear setup guides make it approachable even if you’re new to the Raspberry Pi 5, as long as you’re willing to follow step-by-step technical instructions.
Can I use the camera to detect objects other than the 80 COCO classes?
The included YOLOv8n model is pretrained on the 80 COCO classes. You can retrain with your own dataset on a PC and deploy the custom model to the Pi 5 using the same pipeline — the kit provides the inference foundation you can extend.
How fast is the detection? Will it work in real time?
With the Pi 5’s Hailo-8L NPU and the optimized YOLOv8n model, you’ll achieve approximately 30 FPS on a 640×640 stream, giving smooth, real-time object detection with negligible lag on the HDMI display.
Pi 5 runs YOLOv8n model on USB webcam. Detects 80 COCO objects in real time on HDMI display.
What's in this kit
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