Applications | Projects

Sports Analytics

 

ESI-Fitness

New methods of machine learning and artificial intelligence, combined with precise real-time tracking, allow a new depth of game and training analysis.

 

LZE-Project

Automated analysis methods in sports provide technically, tactically or physiologically important parameters for added value in sport applications.

 

RedFIR

Automated action recognition in combination with machine learning and hierarchical event recognition allows the automatic generation of game statistics.

 

Sensors in soccer

Real-time analysis of soccer players' performance and the course of play using cost-effectiv sensors and machine learning to detect speeds, actions and events for trainers and players.

 

 

Validating wearables in basketball

The validation of commercial wearables allows optimum monitoring of training and game performance for NBA players.

 

Sensors for boxing

Real-time measurements of the acceleration curve and speed of punches using specially developed miniaturized sensor technology in combination with sensor-based artificial intelligence.

 

S3Engine: Sports Scene Search Engine

Fast sports-scene search engine. Based on deep learning, our S3Engine technology enables fast searches for similar game scenes in sports, evaluates them and suggests solutions.

Smart Sensing

 

KI4Tools

The retrofittable and intelligent sensor module for hand tools measures various parameters in manual work processes and thus enables process optimization.

 

HORIS - High-resolution radar systems for infrastructure

Realistic measurement data validation for behavioral prediction of pedestrians at bus stops

 

Schreibtrainer – intelligent handwriting support

AI-based signal processing helps improve handwriting automaticity, spelling and letter formation.

 

Tool Tracking

Assembly errors can be avoided by monitoring tool user activity.

 

ESI-Automotive

Developing reliable detection of passers-by using a combination of camera, LIDAR and RADAR sensors.

 

SmartBrush

Our sensors in the brush, combined with the app support your tooth brushing experience.

Optical Tracking

 

Holodeck 4.0

Discover a whole new world with Virtual Reality.

 

CNNLok

Evaluation of learning, optical localization methods for industrial use.

Autonomous Systems

 

ML4POS

Indoor-Localisation/Position Estimation with Deep Learning used for signal processing chain.

 

ESI

Developing reliable detection of passers-by using a combination of camera, LIDAR and RADAR sensors.

Quantum Machine Learning

 

QACI

 

 

As part of the QACI consortium (Quantum Algorithms for Application, Cloud & Industry), we are researching machine learning-based approaches and methods for optimal use of NISQ hardware through optimized compilation.

 

Bench-QC

 

 

In the Munich Quantum Valley lighthouse project Bench-QC, we are exploring benchmarking methods to identify practical quantum advantages.

 

BayQS

 

 

Im Bayerischen Kompetenzzentrum Quanten Security and Data Science (BayQS) erforschen wir den Einsatz von Quantencomputern zur Verbesserung von maschinellem Lernen.

 

QuaST

 

 

In the QuaST research project, we are developing tools to improve the exploitation of quantum computers and paving the way for distributed quantum computing.

 

QLindA

 

 

In the project QLindA we are developing quantum reinforcement learning algorithms for industrial applications 

 

KID-QC²

In the KID-QC^2 project, a lighthouse project of Munich Quantum Valley, we and the University of Augsburg are working closely together to take the design and optimisation of quantum circuits for quantum chemical calculations to a new level.

Reinforcement Learning

 

ROLF

 

 

In the ROLF research project, Fraunhofer IIS and DATEV are investigating the potential of artificial intelligence (AI) in business processes.

 

KIAFE

 

 

The aim of the project is to develop an AI-supported technology for designing complex, energy- and resource-saving processes.

Innovation Center Bavaria

 

EDIH Digital Innovations for Industry in Bavaria (DIBI)

The European Digital Innovation Hubs (EDIHs) are part of the European Union's "The Digital Europe Programme".  A nationwide network of innovation centers in the EU is intended to support the digital transformation of administration and business. Fraunhofer IIS is a project partner of EDIH DIBI, one of Bavaria's three innovation centers to date.