Pi AI HAT Plus Object Detection Kit with Raspberry Pi 5 + Camera
Build a Real-Time Object Detection System and Measure Acceleration: Raspberry Pi 5 AI HAT+ Kit with Hailo-8L
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
You’ll assemble a standalone object detection system using a Raspberry Pi 5, the Pi AI HAT+ with Hailo-8L NPU, and a Pi Camera Module 3. Run YOLOv8s at full 1080p, measure inference time and power draw, then disable the accelerator to see the raw CPU performance gap. This kit transforms abstract edge AI concepts into a hands-on experiment you can benchmark yourself.
What You'll Build
A compact, battery-friendly vision system that detects people, vehicles, and everyday objects in real time. The onboard NVMe SSD stores logs and video clips, so you can capture results and later analyze them. By the end of the build, you’ll have a reproducible measurement setup that quantifies the Hailo-8L’s acceleration benefit over software-only inference on the Raspberry Pi 5’s Cortex-A76 cores.
What You'll Learn
- Deploy a YOLOv8s model onto a Hailo-8L NPU using the HailoRT runtime and measure inference latency in milliseconds.
- Compare CPU-only vs NPU-accelerated object detection speed, frame rate, and power consumption under identical conditions.
- Configure the Pi Camera Module 3 for 1080p streaming and integrate it with edge AI pipelines using GStreamer or Picamera2.
- Log performance metrics and video captures to an NVMe SSD, then visualize the latency and power trade-offs using Python scripts.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | x1 |
| Raspberry Pi AI HAT+ | x1 |
| Pi Camera Module 3 | x1 |
| NVMe SSD 256GB | x1 |
| USB-C PSU | x1 |
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
This kit is designed for engineering students (B.Tech ECE/EEE/CSE) and CBSE Class 11-12 students exploring AI and embedded systems. It’s perfect for Smart India Hackathon participants building vision-based solutions, ATL Tinkering Lab mentors demonstrating real-time AI, and BITS/VIT/IIT students working on capstone projects in edge computing. If you’ve completed basic Raspberry Pi projects and want to move into practical AI deployment, this kit bridges the gap.
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?
The AI companion walks you through each step, and you can also WhatsApp us for human support on the same day. No dead ends.
Can I use this kit without prior AI experience?
The companion provides model conversion scripts and a benchmarking workflow. Some Python familiarity helps, but every command is explained step by step.
How do I compare power consumption between CPU and NPU modes?
The included measurement scripts log CPU utilization and power from the PMIC. You can toggle the Hailo accelerator on/off to record the difference directly.
Can I deploy my own custom object detection model later?
Yes, the companion covers the Hailo Dataflow Compiler workflow, enabling you to convert and deploy a custom YOLO model on the same hardware when you’re ready.
YOLOv8s on Hailo-8L via Pi AI HAT+ detects objects at full 1080p — compare latency and power vs software inference.
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