Thesis topic: Analysing Table Tennis with AI Vision

At Framna, we are passionate about creating digital products that shape markets and make everyday life better - and we want you to

be part of it.

Every year, we welcome a group of master’s students into our Stockholm studio to spend their final semester with us. You will sit

alongside our developers, designers, testers, analysts, and product delivery leads, get a place to sit in our cozy office, and

join our social and learning activities - from lunch-and-learns to our weekly Friday demos and AWs. It is a chance to do your

thesis in a collaborative setting, surrounded by people who are happy to share what they know.

Sports analytics is a rapidly growing field, and table tennis presents a particular challenge: its fast pace, small ball, and

complex tactical patterns make automated video analysis both technically demanding and practically valuable.

Current approaches to sports video analysis are dominated by task-specific computer vision pipelines with specialised models for

object tracking, pose estimation, and event detection. Now Vision-language models (VLMs) offer a less explored alternative. As

language models, they can be asked open-ended questions about a scene without being trained for the task first. Whether that suits

something as fast and data-heavy as match footage is untested.

• Implementing and evaluating a computer vision approach using tools such as OpenCV, MediaPipe, or YOLO-style object detection to

analyse match footage including for example tracking, pose estimation, and event detection

• Testing one or more vision-language models to analyse that same match footage to compare to the baseline of the computer vision

approach

• Testing one or more vision-language models to analyse match footage and extract tactical insights, player behaviour, and rally

patterns

• Evaluating each approach on tasks such as rally segmentation, serve detection, shot rhythm, score tracking, and tactical

pattern recognition

• Presenting findings including a prototype analysis tool, a small annotated benchmark dataset, evaluation metrics, and design

recommendations for future sports analysis apps

Framna means ‘to bring forward’ in Old Norse. And that is exactly what we do. We partner with industry leaders (and those about to

be) to create excellent digital products that define markets, reshape industries, and deliver meaningful impact.

Born from the union of digital agencies Bontouch, Move, and Shape, Framna emerged from a strong, product-led culture. Today, over

600 of us collaborate across ten studios in Denmark, the Netherlands, Poland, Sweden, Switzerland, and the US.

Every day, millions of users around the world rely on the products we help shape. From seamless payments to daily commutes, from

better health management to smarter shopping. Our work supports more than €150 million in daily transactions and consistently

earns an average App Store rating of 4.5.

Together with some of the world’s most ambitious brands, including Essity, SJ, Swish, and SEB, we craft products that lead markets

and push boundaries. Because when products win, businesses win. We call it Win by product.

Do you want to meet the team in person? Join us on September 17th for our Master's Thesis Evening! You will hear more about our

upcoming thesis topics, meet the team behind our projects, and get a feel for how we work at the intersection of creativity and

technology. Sign up here!