The development of a mobile application utilizing AI and image recognition technology to assist visually impaired individuals represents a significant advancement in accessibility. This project aims to create an app that can "see" for users, enhancing their independence and navigation skills by identifying objects, colors, and text in their surroundings.
1.1 MotivationWith approximately 1.3 billion people living with some form of vision impairment, the need for effective assistive technologies is critical. Current solutions often lack the necessary accuracy and user-friendliness to empower visually impaired individuals fully. This project seeks to bridge that gap by leveraging modern technology to provide a reliable and intuitive tool.
1.2 ObjectivesThe primary objectives of this project are:
- To develop a mobile app that accurately identifies objects, colors, and text using image recognition technology.
- To ensure the app is user-friendly and accessible, allowing visually impaired users to navigate their environment more independently.
- To implement continuous learning capabilities, enabling the app to improve its performance over time.
Existing applications like TapTapSee and Aipoly Vision have paved the way for using image recognition in aiding visually impaired users. These apps utilize advanced algorithms to identify objects and provide audio feedback, yet there remains room for improvement in accuracy and user experience. This project will build upon these foundations, incorporating the latest advancements in AI and machine learning.
Design Method2.1 Needs Assessment and ResearchUser ResearchConducting user research is essential to understanding the specific needs and challenges faced by visually impaired individuals. This will involve interviews and surveys to gather insights on their experiences with existing technologies.
Market AnalysisA thorough market analysis will identify gaps in current offerings and highlight opportunities for innovation. This will include a review of existing apps, their features, and user feedback.
2.2 Concept DevelopmentFeature DefinitionThe app will include the following core features:
- Object Recognition: Identify common objects in the user's environment.
- Color Detection: Recognize and announce colors of objects.
- Text Recognition: Read printed text aloud.
- User-Friendly Interface: Simple navigation and operation tailored for visually impaired users.
The app will be designed with accessibility in mind, featuring large buttons and voice commands to facilitate ease of use.
2.3 Prototype DesignHardware SelectionFor the hardware, the following components will be utilized:
- Blues' Kit: Swan v3, Notecarrier AL, Notecard Cellular NBGL, Notecard WiFi v1.
- Nordic Semiconductor's nRF52840 DK.
- Seeed Studio's XIAO ESP32S3 Sense + Grove Shield for Xiao.
The app will be developed for Android and iOS platforms, utilizing TensorFlow for the image recognition model.
Initial PrototypingAn initial prototype will be built to test the core functionalities, focusing on object and text recognition.
2.4 User Testing and IterationField TestingField tests will be conducted with visually impaired users to gather real-world feedback on the app's performance.
Feedback CollectionUser feedback will be collected through surveys and interviews to identify areas for improvement.
Iterative RefinementBased on feedback, the app will undergo several iterations to enhance its functionality and user experience.
2.5 Final Design and ProductionDesign OptimizationFinal adjustments will be made to optimize the app's performance and user interface.
Cost AnalysisA cost analysis will be performed to ensure the project remains within budget while delivering a high-quality product.
Production PlanningA production plan will outline the steps necessary to launch the app successfully.
2.6 Implementation and SupportCommunity EngagementEngaging with the visually impaired community will be crucial for ongoing support and improvement of the app.
Ongoing ImprovementThe app will be designed to receive regular updates based on user feedback and technological advancements.
Solution Design3.1 HardwareHardware ComponentsThe selected hardware components will provide the necessary processing power and connectivity for the app.
Design and ComfortThe app's interface will be designed for comfort and ease of use, ensuring it can be operated with minimal effort.
3.2 ArchitectureCentral Processing UnitThe app will utilize the processing capabilities of the selected hardware to perform image recognition tasks efficiently.
Navigation and Obstacle DetectionIncorporating navigation features will enhance the app's utility for users in unfamiliar environments.
Communication and FeedbackThe app will provide audio feedback to inform users about identified objects and text.
Power SupplyPower management will be a consideration to ensure the app can operate effectively without draining the device's battery.
ConnectivityThe app will support both cellular and Wi-Fi connectivity for data processing and updates.
User Interface and MountingThe user interface will be designed for easy navigation, with options for voice commands and haptic feedback.
3.3 ImplementationHardware AssemblyThe hardware components will be assembled and tested to ensure compatibility and performance.
Software DevelopmentThe software will be developed using agile methodologies, allowing for flexibility and rapid iterations.
Integration and TestingThe app will undergo rigorous testing to ensure all features work seamlessly together.
Finalization and ProductionFinal adjustments will be made before launching the app to the public.
Deployment and SupportPost-launch support will be provided to assist users and gather feedback for future updates.
Evaluation4.1 Evaluation ProcessThe evaluation process will involve assessing the app's performance against user needs and expectations.
4.2 Theoretical and Practical ContributionThis project will contribute to both theoretical knowledge in assistive technology and practical applications for visually impaired individuals.
4.3 Outlook and ExtensibilityFuture developments may include additional features such as indoor navigation and integration with other assistive technologies.
Comments