Visolus is a powerful tool that successfully tracks and analyzes body movements in real-time, delivering a highly accurate performance in exercise recognition. With an impressive accuracy rate of 75%, the software is capable of precisely identifying and evaluating various physical therapy exercises, ensuring that patients perform them correctly. This level of accuracy is critical in physical therapy, where proper form and technique are essential for recovery and preventing further injury. Visolus excels in this regard by providing instant feedback to users, with a minimal latency of 12 ms milliseconds. This real-time feedback loop significantly enhances the effectiveness of physical therapy routines by allowing immediate corrections, thereby maximizing the benefits of each exercise session and keeping patients on the right track toward their rehabilitation goals.

The development of Visolus was not without its challenges, particularly in ensuring seamless synchronization between its various components, such as the pose tracking, exercise recognition, and voice interaction modules. One of the key difficulties encountered was managing the multithreading aspects of the software, where the voice and image processing threads needed to operate harmoniously without causing conflicts or delays. Through rigorous testing and refinement, the team was able to overcome these obstacles, resulting in a smooth and responsive system that meets the needs of its users.