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@Computer-Aided-Navigation-Equipment

SMART CANE: Computer-Aided Navigation Empowering the Visually Impaired

This organization will combine our work that was done for our capstone project during 2024/2025 @ AUBH.

SMART CANE: Computer-Aided Navigation Empowering the Visually Impaired

Done by

  • Amna Bubshait
  • Rawan Albinzayed
  • Reem Burshaid
  • Zahra Alshehabi

Poster Smart CANE

Individuals with visual challenges face significant mobility challenges due to a lack of efficient obstacle detection technologies. Current solutions frequently lack the required reactivity, resulting in accidents and decreased freedom. Furthermore, many existing equipment lack adjustable feedback choices, limiting users' ability to change their experience based on their preferences. As computer science and computer engineering professionals, our goal is to use our knowledge of both hardware and software to develop a smart cane that addresses these difficulties head on. The project will use advanced sensors to detect obstacles and provide fast alerts by vibrations or audible feedback. Furthermore, the program will deliver real-time updates to caregivers, which will improve the support system for visually impaired people. By combining advanced technology with a focus on user needs, our goal is to offer a solution that promotes mobility, safety, and overall quality of life for the visually impaired community.

Tools

Hardware

Python Raspberry Pi

Backend

MongoDB NodeJS Express AWS

Web Application

React Redux

Mobile Application

Dart Flutter

System Design

UML Use Case Diagram

uml

UML Activity Diagram

activity_diagram

UX/UI Sitemap

sitemap

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  1. hardware hardware Public

    This repository contains the firmware and hardware-related code for the smart cane, utilizing the LiDAR sensor to assist visually impaired users in navigating their environment.

    Python 5

  2. mobileapp mobileapp Public

    This repository holds the Flutter code for the mobile app, also connected to MongoDB for user authentication and data storage.

    Dart 4

  3. backend backend Public

    This repository contains the backend code for both the web & mobile applications.

    TypeScript 4

  4. webapp webapp Public

    This repository contains the React code for the web application, which integrates with MongoDB for backend services.

    TypeScript 4 1

Repositories

Showing 5 of 5 repositories
  • backend Public

    This repository contains the backend code for both the web & mobile applications.

    Computer-Aided-Navigation-Equipment/backend’s past year of commit activity
    TypeScript 4 0 0 0 Updated Apr 29, 2025
  • .github Public
    Computer-Aided-Navigation-Equipment/.github’s past year of commit activity
    0 0 0 0 Updated Apr 29, 2025
  • webapp Public

    This repository contains the React code for the web application, which integrates with MongoDB for backend services.

    Computer-Aided-Navigation-Equipment/webapp’s past year of commit activity
    TypeScript 4 1 0 0 Updated Apr 29, 2025
  • mobileapp Public

    This repository holds the Flutter code for the mobile app, also connected to MongoDB for user authentication and data storage.

    Computer-Aided-Navigation-Equipment/mobileapp’s past year of commit activity
    Dart 4 0 0 0 Updated Apr 29, 2025
  • hardware Public

    This repository contains the firmware and hardware-related code for the smart cane, utilizing the LiDAR sensor to assist visually impaired users in navigating their environment.

    Computer-Aided-Navigation-Equipment/hardware’s past year of commit activity
    Python 5 0 0 0 Updated Apr 28, 2025

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