Pi 5 Sign Language Translator Kit
Build a Real-Time ASL Fingerspelling Translator with the Raspberry Pi 5 Kit
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 a device that bridges communication gaps by reading hand gestures and displaying letters instantly. This kit guides you through building an offline sign language translator powered by Raspberry Pi 5 and MediaPipe, turning a bold accessibility idea into a working prototype you can demonstrate in a classroom, hackathon, or personal portfolio. No cloud dependency, no lag — just real-time hand pose classification running entirely on the edge.
What You'll Build
You’ll assemble a standalone unit that uses the Pi Camera Module 3 to capture hand images, runs MediaPipe’s landmark detection and an ASL classification model on the Raspberry Pi 5, and shows the recognised letter on the 7-inch HDMI display. The final system delivers letter-by-letter translation that works offline—perfect for exploring assistive technology, computer vision prototyping, or as a core module for larger accessibility projects.
What You'll Learn
- Deploy MediaPipe Hands on Raspberry Pi 5 to extract 21 hand landmarks in real time
- Build an ASL fingerspelling classification pipeline using custom Python scripts and a pre‑trained model
- Configure the Pi Camera Module 3 and NVMe SSD over M.2 HAT+ for fast image capture and low‑latency model inference
- Optimise edge AI inference to maintain 15–20 fps, keeping the entire loop on‑device without cloud calls
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| 7in HDMI Display | 1 |
| HDMI Cable | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 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
Designed for CBSE Class 11–12 students building AI and computer vision portfolios, B.Tech ECE/CSE undergraduates tackling accessibility themes in Smart India Hackathon, and ATL Tinkering Lab mentors running advanced tracks. The intermediate difficulty expects familiarity with Python and basic Linux commands, making it a natural fit for engineering mini‑projects at NITs, VIT, BITS, and similar institutions.
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?
Your AI companion walks you through each step with voice and text prompts specific to this kit. If that’s not enough, our WhatsApp support team picks up within an hour to unblock you.
Can I adapt this kit to recognise Indian Sign Language (ISL) fingerspelling?
Yes. The kit ships with an ASL model and training pipeline. You can collect ISL hand images with the onboard camera and retrain the classifier inside the same MediaPipe framework. The AI companion includes a guide for dataset creation and transfer learning.
Does the translator need an internet connection to work?
No. All hand landmark detection and letter classification run on the Raspberry Pi 5. The only time you need connectivity is during initial setup or when reaching WhatsApp support.
What should I do if hand signs aren’t recognised accurately in my room?
Lighting, background clutter, and hand distance affect accuracy. The AI companion helps you adjust camera exposure, set an optimal capture zone, and tune the confidence threshold. You can also swap in your own trained model for customised recognition.
MediaPipe recognises ASL fingerspelling from webcam and displays letters on screen — real-time hand pose classification.
What's in this kit
- Raspberry Pi 5 4GB
- Pi Camera Module 3
- 7in HDMI Display
- HDMI Cable
- NVMe SSD 128GB
- Pi 5 M.2 HAT+
- USB-C PSU
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