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IoT · AI · App

AI Smart Stick for the Visually Impaired

Product Builder · Research Lead

Real-time object detection + OCR on Raspberry Pi, streamed to Android via WebSocket — helping visually impaired users navigate independently.

GitHub ↗APK soon
Assistive AI: Real-time CV pipeline

Edge / IoT

AI Smart Stick for the Visually Impaired companion app
AI stream

Edge + companion

Hardware meets software

Device + phone bridge — sensors, on-device AI, and the companion app.

Edge device

AI Smart Stick for the Visually Impaired edge 1
AI Smart Stick for the Visually Impaired app 2

Edge device

AI Smart Stick for the Visually Impaired edge 3
AI Smart Stick for the Visually Impaired app 4

System story

Overview

A smart navigation assistant that detects obstacles/signs and reads text aloud in real time.

What I built

  • On-device YOLO object detection for obstacles and signs
  • PaddleOCR text reading with spoken feedback
  • WebSocket stream to a companion Android app
  • Low-latency pipeline tuned for outdoor use
  • Assistive UX designed for independent mobility

What's unique

  • Runs on-device (Raspberry Pi) for low-latency feedback
  • Combines detection + OCR into one seamless flow
  • Streams results to an Android app for a friendly experience

Why it matters

  • Faster decisions → safer movement
  • Works in real environments, not just demos
  • Built with production thinking (real-time pipeline)

Craft

Edge stack & companion app

PythonYOLOPaddleOCRRaspberry PiAndroidWebSocket

See the full system

Explore AI Smart Stick for the Visually Impaired

GitHub ↗APK soon
GitHub ↗APK soon