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    AR MediAssist

    AR MediAssist

    An Augmented Reality Lens into Medical Tools

    At its core, this augmented reality application represents a seamless fusion of technology and medical knowledge. Its inception was driven by the unwavering goal of leveraging technology to empower individuals with in-depth insights into the intricate world of medical equipment, fostering a profound understanding of their purpose and functionality.

    Real-World Equipment Visualization

    The application's centerpiece feature is its ability to visualize medical equipment in action. Using the device's camera, users gain access to an immersive experience where medical tools come to life. It's a journey into the real-world application of these devices, transcending the confines of traditional learning methods.

    AR MediAssist

    Sophisticated Object Recognition and Description

    Behind the scenes, the application employs sophisticated object recognition algorithms to identify and annotate medical equipment accurately. When users point the camera at a piece of equipment, the application provides detailed descriptions of its functions, intended use, and importance in medical practice. This process is underpinned by complex image analysis and machine learning technologies.

    Interactivity and User Engagement

    Interactivity is at the heart of this augmented reality application. Users can manipulate virtual models of medical tools, examining them from different angles and even simulating their operation. It's an opportunity for hands-on learning, where tactile interaction enhances understanding.

    AR MediAssist
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    TEAM:

    • Unity3d
    • C#
    • ARFoundation
    • OpenCV 
    • C++
    • Tensorflow

    STACK:

    • 2 AR developers + lead
    • 2 QA
    • 1 UI/UX designer (AR focus)
    • 1 tech artist
    • 1 3D modeler/animator
    • 1 ML expert (for object recognition)

    TIMINGS:

    1 month for prototype

    4.5 months for the full project

    Problem

    The focal challenge lies in the creation of an augmented reality (AR) application that redefines how users interact with and understand medical equipment. This task necessitates the incorporation of advanced technologies to deliver a deeply immersive and technically advanced experience. The core aspiration is to seamlessly bridge the gap between medical theory and practical application, mandating the utilization of cutting-edge tools and methodologies.

    Solution

    To tackle this challenge, our approach leverages a sophisticated technology stack. Unity3D, a robust game development engine, serves as the foundation for the AR application. The use of C# programming ensures efficient and versatile development within Unity3D, while ARFoundation provides the essential framework for augmented reality functionalities. The application's capability to visualize medical equipment in real-world scenarios is enabled by OpenCV, a powerful computer vision library, and C++ programming for advanced image processing. Furthermore, the integration of Tensorflow, a deep learning framework, facilitates intelligent recognition and interaction with medical tools, enhancing the overall immersive experience.

    Result

    The outcome of this project is an AR application that provides an advanced, technically sophisticated experience. Through the device's camera, users are immersed in a dynamic environment where medical equipment is presented in a compelling and educational manner. This immersive experience effectively bridges the gap between theoretical medical knowledge and its practical application, utilizing cutting-edge technologies such as computer vision and deep learning to empower users with a deeper understanding of medical equipment operation and usage.

    CONTACTS

    Address

    1A Sportyvna sq, Kyiv, Ukraine 01023

    1608 Queen St, Wilmington, NC, 28401

    Email

    info@servreality.com

    Skype

    info@servreality.com

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