I will identify and track players using ai face recognition object detection

This gig specializes in face recognition for sports analytics, enabling accurate player identification and long-term tracking using computer vision sports systems.

I build AI pipelines that combine face recognition, object detection, and player tracking to maintain identity consistency across full matches or seasons. This is especially valuable in sports video analysis, scouting, and match analysis AI workflows.

Using deep learning sports models, OpenCV sports, and sports machine learning, I ensure reliable recognition even under motion blur, lighting variation, and partial occlusion. Integrated athlete tracking and motion analysis provide additional performance context.

This service supports football analytics, basketball analytics, and other team sports, delivering sports statistics AI, sports performance analysis, and identity-linked insights suitable for databases or dashboards.

If you need advanced AI sports analysis, video tracking AI, or identity-based analytics powered by sports data science, this gig offers a rare and high-value capability.