Pi 5 Pedestrian Safety IoT System
Pi 5 Pedestrian Safety IoT Kit — AI Radar Warning System
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 compact edge device that uses radar sensing and a Pi Camera Module 3 to detect when a pedestrian is dangerously close to a road edge. An AI model running on the Raspberry Pi 5 classifies the risk level and triggers a loud piezo buzzer warning, creating a real-time safety alert system. This project mirrors smart city infrastructure used to reduce accidents at crossings and blind spots.
What You'll Build
An IoT sensor node that continuously monitors a roadside zone. The RCWL-0516 radar detects motion, the camera captures images, and a custom AI model on the Pi 5 determines if a person is at risk. When high risk is detected, the system sounds an audible alarm and can log events to the NVMe SSD for analysis.
What You'll Learn
- Integrating a microwave radar sensor with Raspberry Pi 5 GPIO
- Capturing and processing real-time images with the Pi Camera Module 3
- Deploying an AI classification model at the edge using TensorFlow Lite
- Designing a safety-critical audio feedback loop with a piezo buzzer
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | x1 |
| RCWL-0516 Radar | x1 |
| Pi Camera Module 3 | x1 |
| Piezo Buzzer | x1 |
| NVMe SSD 128GB | x1 |
| Pi 5 M.2 HAT+ | x1 |
| USB-C PSU | x1 |
| M-M Wires | x15 |
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 ideal for B.Tech ECE/EEE students building IoT projects for Smart India Hackathon, engineering final-year projects, or CBSE Class 11-12 students exploring AI and embedded systems. It’s also a strong fit for ATL Tinkering Labs and university labs (IIT, NIT, VIT, BITS) running workshops on smart transportation.
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 to open the AI companion, which guides you through each connection and code block. You can also send a WhatsApp message for human backup within a few hours.
Can I use this kit for a different safety application, like vehicle proximity?
Yes, the radar and camera can be retrained for vehicle detection with minor model adjustments. The AI companion’s training materials include hints on adapting the classifier.
Do I need a separate monitor for the Pi 5?
No, you can access the Pi 5 headlessly via SSH or VNC after initial setup. The kit includes all hardware to run the AI model without a desktop GUI.
How long does the AI model take to detect a pedestrian?
With TensorFlow Lite on the Pi 5, classification latency is under 100ms, enabling near-instant audio warnings once motion and image are captured.
Radar sensor and camera on Pi 5 detect pedestrian proximity to road edge — AI classifies risk and triggers audio warning.
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