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Development of an Advanced Mobile Visual Assistance Platform for the Visually Impaired
  1. case
  2. Development of an Advanced Mobile Visual Assistance Platform for the Visually Impaired

Development of an Advanced Mobile Visual Assistance Platform for the Visually Impaired

spiria.com
Medical
Non-profit
Healthcare

Identifying the Need for a Next-Generation Visual Assistance Device

The client faces challenges in developing a comprehensive, reliable, and portable visual assistance platform capable of supporting a wide range of visual impairments. They lack in-house expertise in Android development, software architecture for embedded systems, and advanced mobile application features, preventing timely delivery of an innovative product to improve the quality of life for visually impaired users worldwide.

About the Client

A mid-sized healthcare technology organization aiming to enhance assistive devices for visually impaired individuals through innovative mobile and embedded solutions.

Goals for Developing a Cutting-Edge Visual Enhancement System

  • Deliver a fully functional Android mobile application within the original timeframe, supporting essential features for visual assistance.
  • Develop core Java modules for embedded headset software to enable seamless hardware-software integration.
  • Define the architecture and initial requirement specifications for an iOS counterpart to enable platform versatility.
  • Implement agile development processes and improve team efficiency through adoption of best practices and tools.
  • Ensure the final product meets high quality and usability standards to maximize positive user impact.
  • Enable users, including those with severe visual impairments, to achieve visual acuity improvements, potentially reaching 20/20 vision, improving daily independence.

Core Functional and Technical System Requirements

  • Mobile application for Android (and iOS) providing intuitive controls, settings configuration, and accessibility features.
  • Embedded headset software comprising key Java modules for image processing, feedback management, and hardware communication.
  • Real-time image capture and enhancement processes to assist users with low visual acuity.
  • Structurally defined system architecture supporting scalability and integration with future hardware upgrades.
  • Agile development methodology support, including project management and quality assurance best practices.

Preferred Technologies and Architectural Frameworks

Android development using Java and React for front-end interfaces
iOS development employing Swift for platform consistency
Use of Amazon Web Services (AWS) for scalable cloud operations
Platform architecture emphasizing modular, maintainable Java modules for embedded systems

Required External System and Hardware Integrations

  • Hardware communication interfaces between the headset and mobile device
  • Cloud services for data synchronization and secure storage
  • Potential integration with existing medical or assistive hardware platforms

Key Non-Functional System Attributes

  • System latency below 200 milliseconds to support real-time image processing
  • High reliability with 99.9% uptime for mobile and embedded systems
  • Data security complying with healthcare privacy standards (e.g., HIPAA)
  • Scalability to accommodate future hardware/software feature expansion

Anticipated Business and Social Impact

The successful development of this visual assistance platform is expected to enable thousands of visually impaired individuals to significantly improve their visual acuity and independence, with potential reaching of 20/20 vision in certain cases. By delivering the product within planned schedules and ensuring high quality standards, the project aims to expand market reach, enhance user quality of life, and establish the organization as a leader in assistive healthcare technology innovation.

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