Pi AI HAT Pose Estimation Kit Kit with Raspberry Pi 5 + Camera
Pi AI HAT Pose Estimation Kit with Raspberry Pi 5 — Real-Time Exercise Form Analysis
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Build a system that watches your squat, push-up, or yoga pose and gives instant feedback on form. The Hailo-8L NPU accelerates MediaPipe BlazePose to track 33 body landmarks in real time, turning the Raspberry Pi 5 into a personal AI trainer. This kit is perfect for sports science projects, fitness tech prototypes, or exploring how edge computing makes vision AI fast enough for live use.
What You'll Build
You'll create a real-time exercise form analyzer that overlays skeletal landmarks on a live camera feed and evaluates alignment. It detects common mistakes — like bent knees during a squat or rounded shoulders in a plank — and displays corrective guidance instantly on the included 7-inch screen. By the end, you'll have a working demo that could be extended to any movement-based analysis.
What You'll Learn
- Deploy and accelerate MediaPipe BlazePose on Hailo-8L NPU
- Process real-time video streams with OpenCV and the Pi Camera Module 3
- Build an end-to-end edge AI pipeline for pose estimation
- Understand exercise biomechanics and feedback logic for form correction
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Raspberry Pi AI HAT+ | 1 |
| Pi Camera Module 3 | 1 |
| 7in HDMI Display | 1 |
| HDMI Cable | 1 |
| NVMe SSD 256GB | 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
This intermediate kit is built for B.Tech CSE/ECE students tackling Smart India Hackathon or final-year projects in computer vision, CBSE Class 11-12 innovators at ATL Tinkering Labs who want real AI acceleration experience, and makers from IIT, NIT, VIT, or BITS diving into edge computing. If you've used a Raspberry Pi before and are ready to run neural networks at the edge, this kit eliminates the hardware guesswork and lets you focus on the application logic.
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 box to chat with the AI companion trained specifically for this kit; it can guide you through wiring, software setup, and model deployment. You also have WhatsApp and email support as backup.
Can I use this kit for other pose-based applications like sign language recognition?
Absolutely. Once the BlazePose pipeline is running, you can replace the exercise analysis logic with your own model — sign language interpretation, dance move feedback, or ergonomic monitoring are all achievable.
Do I need to install any operating system on the SSD?
Yes, we recommend Raspberry Pi OS (64-bit) with the HailoRT drivers. The AI companion provides step-by-step instructions to flash the OS onto the NVMe SSD and install all required libraries.
Can I run the pose estimation without the display, sending output to my laptop instead?
Yes, you can stream the processed video over the network using the Pi's Wi-Fi or Ethernet. The kit includes the display for a standalone demo, but the build guide covers remote viewing as well.
MediaPipe BlazePose accelerated on Hailo-8L detects 33 body landmarks at 60fps — real-time exercise form analysis.
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