P3 Project

  • Project start date: February 2020.
  • Project end date: January 2026.
  • P3 websitehttps://www.p3.md/
In collaboration with P3, our team supported the processing and analysis of complex biomechanical data within a structured, high-precision environment. The project focused on transforming raw multi-angle video recordings of athletes into usable, structured datasets that could support advanced performance analysis. This required consistent execution, attention to detail, and the ability to operate within clearly defined analytical frameworks.Our work involved handling synchronized video inputs captured from multiple perspectives (360-degree coverage), where athletes performed a series of predefined movements.
Using specialized motion analysis tools, we tracked key body markers frame by frame, ensuring that each movement was accurately captured and represented. This process demanded a high level of precision and consistency, as even minor deviations could impact the integrity of the final output.That data was then used to generate detailed 3D motion models, providing a reliable foundation for further biomechanical and performance analysis.
This engagement allowed us to further develop our expertise in structured data operations, delivering consistent accuracy at scale while supporting environments that demand a high level of precision and reliability.