Pi 5 Fall Detection Safety System
Build a Life-Saving Fall Detection System with Raspberry Pi 5 and AI Pose Estimation
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 compact device that watches over an aging parent, instantly recognizing a fall and pinging your phone on WhatsApp with an alert. This kit equips you to build that exact system — a real-time safety net powered by Raspberry Pi 5 and cutting-edge YOLOv8 pose estimation. You’ll merge hardware and AI into a functional elder-care prototype that can run unattended in a room, providing peace of mind for families across India.
What You'll Build
You’ll assemble and code a standalone unit that uses a Pi Camera Module 3 to capture live video, runs a deep learning model on-device to detect human poses, and when a fall is detected, triggers a WhatsApp message via Twilio. The final device is a functional, low-latency safety system that can be deployed in a senior’s living space, hospital room, or assisted-care facility.
What You'll Learn
- Setting up Raspberry Pi 5 with NVMe SSD for fast AI inference
- Capturing and preprocessing video streams with Pi Camera Module 3
- Deploying YOLOv8 pose estimation models on edge hardware
- Integrating Twilio API for automated WhatsApp alerts
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 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
This kit is tailored for B.Tech ECE/EEE students tackling a capstone project on AI for healthcare, Smart India Hackathon participants prototyping elder-tech solutions, or CBSE Class 11–12 students building a computer vision project for practical exams. It’s also ideal for ATL Tinkering Labs and hobbyists from IIT, NIT, VIT, and BITS exploring edge AI in a socially relevant use-case.
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 included AI companion offers step-by-step troubleshooting for this specific project, with fallback support via WhatsApp for deeper issues.
How reliable is fall detection in different room lighting?
With the Pi Camera Module 3’s autofocus and HDR, the model performs well in varied indoor lighting. You’ll fine-tune detection thresholds during setup.
Can I modify the alert to send SMS instead of WhatsApp?
Yes, the Twilio integration can be switched to SMS with minor code changes, which the AI companion can guide you through.
Do I need a constant internet connection for it to work?
The pose estimation runs offline on the Pi 5, but the Twilio alert requires Wi‑Fi. The system buffers detections and sends alerts when connectivity resumes if needed.
YOLOv8 pose estimation on Pi 5 detects human falls and sends WhatsApp alert via Twilio API — elder care safety project.
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