Pi AI HAT Plus Image Classifier Kit with Raspberry Pi 5 + Camera
Raspberry Pi 5 AI HAT+ Image Classifier Kit: Benchmark Edge AI at 13 TOPS
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Run image classification at a blazing 13 TOPS on Raspberry Pi 5 using the Hailo-8L AI HAT+. This intermediate kit lets you benchmark MobileNetV2 inference on the NPU against the Pi 5’s CPU, deploy a real-time camera classifier, and understand edge AI acceleration — ideal for Smart India Hackathon prototypes and B.Tech capstones.
What You'll Build
You'll assemble a portable inference station: the Pi Camera Module 3 captures frames, the AI HAT+ processes them with the Hailo-8L neural processor, and you measure frames per second on both the NPU and the Raspberry Pi 5 CPU. The side-by-side comparison reveals how a dedicated AI accelerator slashes latency for computer vision tasks.
What You'll Learn
- Install HailoRT drivers and configure the AI HAT+ on Pi OS
- Run MobileNetV2 on Hailo-8L and Pi 5 CPU, measuring FPS and latency
- Use Pi Camera Module 3 for frame capture and preprocessing
- Build a real-time object recognizer deployable in SIH projects
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Raspberry Pi AI HAT+ | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 128GB | 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
B.Tech ECE/EEE students exploring AI hardware, CBSE Class 12 Python learners, and Smart India Hackathon teams will find this kit directly relevant. ATL mentors and VIT/IIT/BITS project guides use it to demonstrate edge acceleration without sourcing complexity.
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 for the AI companion; it provides step-by-step debugging, and you can WhatsApp us for live support.
Can I run other models besides MobileNetV2 on the Hailo-8L?
Yes, Hailo-8L supports many ONNX models. Our guide shows how to convert your own trained models using Hailo Model Zoo tools.
Does this work for a Smart India Hackathon project?
Absolutely — you get a working real-time classifier. Extend it to smart surveillance, agriculture pest detection, or automated retail, all offline, perfect for SIH demos.
I already have a Raspberry Pi 4. Can I use this kit with it?
The AI HAT+ requires Pi 5’s PCIe 2.0 lane. It won’t work with Pi 4; we include Pi 5 to ensure full performance as benchmarked.
Hailo-8L on Pi AI HAT+ runs MobileNetV2 image classification at 13 TOPS — benchmark inference vs CPU on Pi 5.
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