Title:	TEAMLAB – Team-sports Exploratory Advanced Machine Learning for Automated Broadcasting
DNr:	Berzelius-2026-120
Project Type:	LiU Berzelius
Principal Investigator:	Mikael Nilsson <mikael.nilsson@math.lth.se>
Affiliation:	Lunds universitet
Duration:	2026-04-01 – 2026-10-01
Classification:	10207
Keywords:

Abstract

This application stems from an ongoing WASP industrial PhD project (see title). The production of professional sports broadcasting is becoming increasingly dependent on advanced Artificial Intelligence (AI) and Machine Learning (ML) technologies. As demand grows for cost-effective and scalable auto-casting solutions, it is essential to explore how core production roles—traditionally fulfilled by camera operators, producers, directors, and commentators—can, at least in part, be replicated or supported by AI/ML-driven systems. While elite leagues can continue to rely on dedicated production teams, many lower-tier sports and smaller organizations lack the financial capacity to sustain such resources. This creates a widening accessibility gap in the availability and longevity of sports media content. This application is for running and training ML models and related computer vision pipelines.