Our research focuses on revolutionizing remote surgery through augmented reality and robotics, aiming to enhance precision and accessibility in medical procedures. We are exploring how real-time 3D reconstruction and feature extraction can provide surgeons with unprecedented control and visualization, even from a distance. We have implemented our own directional intensified feature extraction to ensure precise and accurate detection of surgical features, enhancing the surgeon's control over the robotic arm.
By using 3D reconstruction from minimal 2D images, we have significantly reduced the hardware complexity and improved the efficiency of our system. Our system provides the best surveillance of the surgical environment using a single mobile camera synchronized to take snaps every two seconds, ensuring real-time updates for the remote surgeon. We have developed seamless communication protocols with low latency and high reliability using Bluetooth and LAN, ensuring uninterrupted and accurate data transmission.
Our approach to achieve precise, real-time synchronization between video feeds and robotic arm responses can serve as a benchmark for future research in remote surgery and telemedicine. It offers a model for integrating real-time data with robotic control systems. Our approach to achieve precise real-time synchronization between video feeds and robotic arm responses can serve as a benchmark for future research in remote surgery and telemedicine.
It offers a model for integrating real-time data with robotic control systems.
