P3 Project

In collaboration with P3, our team supported the processing and analysis of complex biomechanical data within a structured, high-precision environment. The project centered on transforming raw multi-angle video recordings of athletes into structured, usable datasets that could support advanced performance analysis. This required disciplined execution, strong attention to detail, and the ability to operate within clearly defined analytical frameworks.

Our work involved managing synchronized video inputs captured from multiple perspectives, providing full 360-degree coverage of athlete movement. Each recording followed a set of predefined motion sequences, ensuring consistency across datasets and enabling accurate comparative analysis.

Using specialized motion analysis tools, we tracked key body markers frame by frame, ensuring that every movement was precisely captured and correctly represented. This stage demanded a high level of accuracy and consistency, as even minimal discrepancies could affect the reliability of the final dataset.

The processed data was then used to generate detailed 3D motion models, forming a dependable foundation for further biomechanical and performance analysis.
Through this engagement, we strengthened our capabilities in structured data operations, consistently delivering accuracy at scale while supporting environments that require precision, reliability, and methodological rigor.