Welcome to Eyes On The Road

  • Designed specifically for visually impaired individuals.
  • Empowers users to navigate Hong Kong’s urban environments.
  • Focuses on safety and independence in mobility.
  • Integrates innovative technologies for seamless navigation.

Our Mission

  • Enhance Accessibility: Create an inclusive environment for visually impaired individuals to navigate urban spaces easily.
  • Promote Independence: Empower users with tools for safe, independent travel.
  • Leverage Technology: Use cutting-edge technologies like GPS navigation and object detection to enhance situational awareness.
  • Foster Social Inclusion: Encourage participation in community activities for greater engagement.
  • Continuous Improvement: Gather feedback to enhance our solution and meet evolving user needs.

Problem Statement

  • Inadequate auditory guidance makes independent travel difficult.
  • Limited availability of guide dogs hinders mobility assistance.
  • Existing assistive technologies lack real-time navigation capabilities.
  • Visually impaired individuals in Hong Kong struggle with navigating complex urban environments.
  • Urban challenges include narrow sidewalks, heavy pedestrian traffic, and frequent obstacles.

Features

Real-time Navigation Guidance

  • Turn-by-Turn Directions: Provides voice-guided navigation to assist users in reaching their destinations safely.
  • Location Tracking: Continuously monitors user location using GPS and device sensors.
  • Route Calculation: Calculates optimal routes considering various factors such as distance, slope, and terrain difficulty.
  • Hybrid Location System: Combines GPS with Pedestrian Dead Reckoning (PDR) for improved accuracy in areas with weak GPS signals.
  • Integration with Google Maps: Utilizes Google Maps API for reliable route information and updates.
  • User-Friendly Interface: Designed for hands-free operation, allowing users to focus on their surroundings while receiving navigation cues.

On-Device Object Detection

  • Real-Time Processing: Analyzes camera feed continuously to identify obstacles in the user’s path.
  • Google ML Kit Integration: Utilizes Google’s machine learning tools for efficient object detection.
  • Custom TensorFlow Lite Models: Implements specialized models to enhance accuracy and speed of detection.
  • Immediate Alerts: Provides timely audio warnings when obstacles are detected, ensuring user safety.
  • Seamless User Experience: Designed to operate smoothly in conjunction with navigation features for comprehensive guidance.
  • Privacy-Focused: Performs detection on-device, minimizing data transmission and enhancing user privacy.

Bilingual Voice Interface

  • Multilingual Support: Offers voice guidance in multiple languages to cater to diverse users.
  • Speech Recognition: Employs advanced speech-to-text technology for accurate command recognition.
  • Text-to-Speech Functionality: Converts text instructions into spoken words for easy understanding.
  • Hands-Free Operation: Allows users to interact with the app without needing to touch the device, enhancing accessibility.
  • User-Centric Design: Tailored voice prompts are designed to be clear and concise for effective navigation.
  • Customizable Settings: Users can select their preferred language and voice options for a personalized experience.

Poster

Video